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  <jobs>
    <job>
      <externalid>3c13f93e-7f3</externalid>
      <Title>Forward Deployed Product Manager, AI Agent</Title>
      <Description><![CDATA[<p>Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it&#39;s at Cresta.</p>
<p>As a Forward Deployed Product Manager, AI Agent, you will create, deploy and optimize AI Agents that transform our customers&#39; businesses and delight their customers. This highly cross-functional and customer-facing role blends product thinking, a nose for value, and project leadership with senior customer executives.</p>
<p>At the end of the day, you own each AI Agent and the outcomes they drive for our customers, and you take that personally. You are a creative, pragmatic problem solver who thrives in fast-paced environments, rolls up your sleeves to build, and excels at turning ambiguity into execution.</p>
<p>In this role, you’ll partner with Forward Deployed Engineers (FDEs) who will support the build, integrations and optimization to make the AI Agent product successful. You’ll also work closely with product and engineering, providing a tight feedback loop and custom tooling that will shape the future of our platform.</p>
<p>What You’ll Do:</p>
<ul>
<li>Own AI Agent outcomes for our customers , defining and delivering on the metrics that move the needle. This includes finding additional automation opportunities that can provide even more value!</li>
</ul>
<ul>
<li>Own the deployment lifecycle for AI Agents , from pre-sale scoping and kickoff to launch and post-go-live optimization</li>
</ul>
<ul>
<li>Design, build, test and iterate on AI agents in partnership with FDEs using Cresta’s internal tools and the latest technologies to deliver the highest customer ROI</li>
</ul>
<ul>
<li>Lead customer relationships and act as the primary point of contact for AI Agent. Help prospects and customers move faster to ensure we can deliver quickly and effectively.</li>
</ul>
<ul>
<li>Facilitate workshops and design sessions with customer stakeholders to align on agent use cases, workflows, and success criteria while gathering feedback to improve the AI agent platform</li>
</ul>
<ul>
<li>Work closely with FDEs to ensure smooth implementation, build new capabilities as needed and provide feedback and improvements to our broader platform</li>
</ul>
<ul>
<li>Improve our playbooks for agent development and customer deployment</li>
</ul>
<p>What We’re Looking For:</p>
<ul>
<li>5+ years of experience in Technology Consulting, Implementations, Product, or Customer Success roles, ideally working closely with AI or LLM first products</li>
</ul>
<ul>
<li>Hands-on work style – curiosity with a bias for action. You anticipate needs and bottlenecks and deliver with urgency and care.</li>
</ul>
<ul>
<li>Experience leading complex deployments, owning customer relationships (including senior customer stakeholders), and working cross-functionally</li>
</ul>
<ul>
<li>Strong technical understanding, systems thinking and exposure to building Agents (not necessarily conversational, personal projects count!)</li>
</ul>
<ul>
<li>Comfortable working with ambiguity and learning quickly in a dynamic startup environment</li>
</ul>
<ul>
<li>Passion for AI, automation, and shaping the future of customer experience</li>
</ul>
<p>Bonus Points:</p>
<ul>
<li>Background in product management, conversation design or forward deployed engineering roles</li>
</ul>
<ul>
<li>Experience in a startup or high-growth SaaS environment</li>
</ul>
<ul>
<li>Familiarity with customer support and contact center operations</li>
</ul>
<p>Perks &amp; Benefits:</p>
<p>We offer a comprehensive and people-first benefits package to support you at work and in life:</p>
<ul>
<li>Comprehensive medical, dental, and vision coverage with plans to fit you and your family</li>
</ul>
<ul>
<li>Flexible PTO to take the time you need, when you need it</li>
</ul>
<ul>
<li>Paid parental leave for all new parents welcoming a new child</li>
</ul>
<ul>
<li>Retirement savings plan to help you plan for the future</li>
</ul>
<ul>
<li>Remote work setup budget to help you create a productive home office</li>
</ul>
<ul>
<li>Monthly wellness and communication stipend to keep you connected and balanced</li>
</ul>
<ul>
<li>In-office meal program and commuter benefits provided for onsite employees</li>
</ul>
<p>Compensation at Cresta</p>
<p>Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.</p>
<p>OTE Range: $170,000–$280,000 + Offers Equity</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>remote</Workarrangement>
      <Salaryrange>$170,000–$280,000</Salaryrange>
      <Skills>AI, Machine Learning, Product Management, Customer Success, Technical Understanding, Systems Thinking, Agent Development, Customer Deployment, Conversation Design, Forward Deployed Engineering, Customer Support, Contact Center Operations</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Cresta</Employername>
      <Employerlogo>https://logos.yubhub.co/cresta.ai.png</Employerlogo>
      <Employerdescription>Cresta is a technology company that provides a platform combining AI and human intelligence to help contact centers discover customer insights and behavioral best practices.</Employerdescription>
      <Employerwebsite>https://www.cresta.ai/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/cresta/jobs/4738837008</Applyto>
      <Location>United States, Remote</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>08d03f20-666</externalid>
      <Title>Finance Systems Integration Engineer</Title>
      <Description><![CDATA[<p>We are seeking an experienced Finance Systems Integration Engineer to support our finance systems transformation at one of the fastest-growing AI companies. You&#39;ll design and build integrations connecting our ERP platform with critical financial applications and support our ERP implementation initiatives.</p>
<p>As you master our integration landscape, you&#39;ll have opportunities to expand into Claude-powered AI automation and data pipeline development.</p>
<p>You&#39;ll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you&#39;ll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve.</p>
<p>In this role, you will:</p>
<ul>
<li>Design, build, and maintain integrations connecting ERP systems with downstream applications, including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions.</li>
</ul>
<ul>
<li>Support integration development and testing during the ERP implementation projects.</li>
</ul>
<ul>
<li>Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication.</li>
</ul>
<ul>
<li>Implement real-time and batch integration patterns supporting high-volume financial transactions.</li>
</ul>
<ul>
<li>Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity.</li>
</ul>
<ul>
<li>Document integration architectures, data flows, API specifications, and troubleshooting procedures.</li>
</ul>
<ul>
<li>Collaborate with implementation consulting partners and vendors on technical integration requirements.</li>
</ul>
<p>Additional scope includes AI automation and data infrastructure, including AI agent development, data pipeline support, governance, and collaboration.</p>
<p>You may be a good fit if you have 8+ years of experience in integration development, data engineering, or systems engineering roles, possess hands-on experience with iPaaS platforms, and have strong programming skills in Python and/or JavaScript/TypeScript.</p>
<p>Strong candidates may also have experience with high-growth technology companies, background in AI/ML companies, and hands-on experience with specific platforms, including Workday Financials, Stripe, Salesforce, Zuora RevPro, Zip Procurement, Clearwater treasury systems, Pigment planning tools, Numeric close management, and programming skills in Python/JavaScript.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$205,000-$265,000 USD</Salaryrange>
      <Skills>integration development, data engineering, systems engineering, iPaaS platforms, Python, JavaScript/TypeScript, REST APIs, webhooks, OAuth 2.0, secure system-to-system communication, real-time and batch integration patterns, high-volume financial transactions, monitoring, alerting, error-handling frameworks, integration reliability, data integrity, API specifications, troubleshooting procedures, AI automation, data infrastructure, AI agent development, data pipeline support, governance, collaboration, high-growth technology companies, AI/ML companies, specific platforms, Workday Financials, Stripe, Salesforce, Zuora RevPro, Zip Procurement, Clearwater treasury systems, Pigment planning tools, Numeric close management</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic creates reliable, interpretable, and steerable AI systems. It is a quickly growing group of committed researchers, engineers, policy experts, and business leaders.</Employerdescription>
      <Employerwebsite>https://anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5155195008</Applyto>
      <Location>San Francisco, CA | Seattle, WA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>d400de24-26e</externalid>
      <Title>Applied AI Engineer (Digital Natives Business)</Title>
      <Description><![CDATA[<p><strong>About the Role</strong></p>
<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide a focused portfolio of customers from technical discovery through successful deployment. You&#39;ll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of Claude APIs and move their products closer to the frontier, while maintaining our high standards for safety and reliability.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Serve as a specialist technical advisor to Anthropic customers as they deploy new products &amp; workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success</li>
</ul>
<ul>
<li>Partner with account executives and solutions architects to translate customer business requirements into technical solutions</li>
</ul>
<ul>
<li>Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites</li>
</ul>
<ul>
<li>Lead hands-on technical workshops and code reviews with customer engineering teams</li>
</ul>
<ul>
<li>Identify common design patterns and contribute insights back to our Product and Engineering teams</li>
</ul>
<ul>
<li>Create scalable public and internal assets, documenting the latest LLM prompting, evaling, agentic, and architecture techniques</li>
</ul>
<ul>
<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</li>
</ul>
<ul>
<li>Travel occasionally to customer sites for workshops, implementation support, and building relationships</li>
</ul>
<ul>
<li>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</li>
</ul>
<p><strong>Requirements</strong></p>
<ul>
<li>4+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers. Former technical founders are also encouraged to apply.</li>
</ul>
<ul>
<li>Production experience with LLMs including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale</li>
</ul>
<ul>
<li>Strong programming skills with proficiency in Python or TypeScript and experience building production applications</li>
</ul>
<ul>
<li>Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems</li>
</ul>
<ul>
<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity</li>
</ul>
<ul>
<li>Passion for advancing safe, beneficial AI systems through creative technical applications</li>
</ul>
<ul>
<li>Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach</li>
</ul>
<p><strong>Benefits</strong></p>
<ul>
<li>Competitive compensation and benefits</li>
</ul>
<ul>
<li>Optional equity donation matching</li>
</ul>
<ul>
<li>Generous vacation and parental leave</li>
</ul>
<ul>
<li>Flexible working hours</li>
</ul>
<ul>
<li>Lovely office space in which to collaborate with colleagues</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$200,000-$320,000 USD</Salaryrange>
      <Skills>Python, TypeScript, LLMs, Prompt engineering, Agent development and frameworks, Evaluation frameworks, Transcript analysis, MCP, Deployment at scale</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a public benefit corporation that creates reliable, interpretable, and steerable AI systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5057647008</Applyto>
      <Location>San Francisco, CA | New York City, NY | Seattle, WA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>a9559937-5dc</externalid>
      <Title>Engineering Manager, Agent</Title>
      <Description><![CDATA[<p>Job Title: Engineering Manager, Agent</p>
<p>We are hiring an Engineering Manager to lead our Agent team, focused on building the world’s best Agentic Video Editor, Underlord. This is a rapidly changing landscape, and there are many unique technical challenges that come with building high quality, cost-effective Agents for handling the multimodal nature of video.</p>
<p>As an Engineering Manager, you will manage a team of 5-6 software engineers, report to the Head of AI Engineering, and partner closely with others across engineering, product, design, and AI research teams. Agent-driven editing is a major company focus and this role requires strong product thinking and strategic partnership skills as the team continues to develop novel, high-quality experiences around Agentic Video Editing.</p>
<p>In 2026, your primary focus will be driving quality to move from beta to GA and delivering material impact for the business. You will:</p>
<ul>
<li>Own execution: Manage team prioritizes, drive alignment across stakeholders, adapt plans to maximize outcomes, and hold a high bar for delivery through active planning, prioritization, and follow-through</li>
</ul>
<ul>
<li>Define team direction: Connect customer needs, product vision, and technical realities in close collaboration with Product, Design, and AI Research by setting clear priorities and making tradeoffs to deliver results</li>
</ul>
<ul>
<li>Develop your team: Recruit, mentor, and grow engineers, fostering a culture of continuous learning and high performance. Create stretch opportunities for ICs, deliver clear and direct feedback, and manage underperformance early</li>
</ul>
<ul>
<li>Drive operational excellence: Ensure execution is predictable, reliable, and sustainable, implementing best practices in project management and engineering processes</li>
</ul>
<ul>
<li>Maintain the technical bar: Guide architectural decisions, ensure sound design tradeoffs, address tech debt that slows execution, and drive delivery of high-quality, reliable systems</li>
</ul>
<p>The base salary range for this role is $222,431-$261,684/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above.</p>
<p>Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We&#39;re hiring for a mix of remote roles and hybrid roles. For those who are remote, we have a handful of opportunities throughout the year for in person collaboration. For our hybrid roles, we&#39;re flexible, and you&#39;re an adult,we don&#39;t expect or mandate that you&#39;re in the office every day.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$222,431-$261,684/year</Salaryrange>
      <Skills>software engineering, engineering management, product thinking, strategic partnership, team management, project management, engineering processes, agent development, evals, LLM-powered products, creative tools, video editing</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Descript</Employername>
      <Employerlogo>https://logos.yubhub.co/descript.com.png</Employerlogo>
      <Employerdescription>Descript is building a simple, intuitive, fully-powered editing tool for video and audio. It has a team of 150 employees.</Employerdescription>
      <Employerwebsite>https://descript.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/descript/jobs/7617845003</Applyto>
      <Location>San Francisco, CA | Remote</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>da319090-9f5</externalid>
      <Title>Forward Deployed Engineer, Applied AI</Title>
      <Description><![CDATA[<p>As a Forward Deployed Engineer (FDE) at Anthropic, you will be a key member of the Applied AI team, embedding directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real-world business problems.</p>
<p>Working closely with our Post-Sales, Product, and Engineering teams, you&#39;ll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>
<p>Responsibilities:</p>
<ul>
<li>Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.</li>
<li>Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.</li>
<li>Provide white-glove deployment support for Anthropic products in enterprise environments.</li>
<li>Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.</li>
<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.</li>
<li>Build long-term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.</li>
<li>Potential travel (based on location) to customer sites to build in-person with customers.</li>
</ul>
<p>Requirements:</p>
<ul>
<li>3+ years of experience in a technical, customer-facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience.</li>
<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.</li>
<li>Strong programming skills with proficiency in Python (and ideally in one or more additional languages like Typescript, Java, etc) and experience shipping production applications.</li>
<li>High agency with an ability to navigate ambiguity present in complex organizations.</li>
<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.</li>
<li>Passion for advancing safe, beneficial AI systems through creative technical applications.</li>
<li>Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.</li>
</ul>
<p>Benefits:</p>
<ul>
<li>Annual salary: $200,000-$300,000 USD</li>
<li>Competitive compensation and benefits</li>
<li>Optional equity donation matching</li>
<li>Generous vacation and parental leave</li>
<li>Flexible working hours</li>
<li>Lovely office space in which to collaborate with colleagues</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$200,000-$300,000 USD</Salaryrange>
      <Skills>Python, LLMs, Prompt engineering, Agent development, Evaluation frameworks, Deployment at scale, Typescript, Java, Cross-organizational collaboration, Communication skills</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a public benefit corporation that creates reliable, interpretable, and steerable AI systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/4985877008</Applyto>
      <Location>Boston, MA; Chicago, IL; New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY; Washington, DC</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>9e4ad056-714</externalid>
      <Title>Applied AI Engineer</Title>
      <Description><![CDATA[<p>Job Description:</p>
<p>About Anthropic</p>
<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.</p>
<p>Responsibilities:</p>
<p>Serve as a technical advisor to Anthropic customers as they deploy new products &amp; workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success</p>
<p>Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation</p>
<p>Guide technical architecture decisions and help customers build state-of-the-art products &amp; workflows with LLMs via API</p>
<p>Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API</p>
<p>Lead hands-on technical workshops and code reviews with customer engineering teams</p>
<p>Identify common design patterns and contribute insights back to our Product and Engineering teams</p>
<p>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</p>
<p>Travel occasionally to customer sites for workshops, implementation support, and building relationships</p>
<p>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</p>
<p>Requirements:</p>
<p>4+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers</p>
<p>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale</p>
<p>Strong programming skills with proficiency in Python and experience building production applications</p>
<p>Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.</p>
<p>Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems</p>
<p>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity</p>
<p>Passion for advancing safe, beneficial AI systems through creative technical applications</p>
<p>Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach</p>
<p>Fluent in both Korean and English</p>
<p>Logistics:</p>
<p>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>
<p>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</p>
<p>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p>How we&#39;re different:</p>
<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>Come work with us!</p>
<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Python, LLMs, Prompt engineering, Agent development, Evaluation frameworks, Deployment at scale, Common LLM implementation patterns, Agent frameworks, Retrieval frameworks</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a public benefit corporation that creates reliable, interpretable, and steerable AI systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5014500008</Applyto>
      <Location>Seoul, South Korea</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>23131624-8f0</externalid>
      <Title>Forward Deployed Engineer, Applied AI</Title>
      <Description><![CDATA[<p>As a Forward Deployed Engineer at Anthropic, you will be part of our Applied AI team, embedding directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real-world business problems.</p>
<p>Working closely with our Post-Sales, Product, and Engineering teams, you&#39;ll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>
<p>Responsibilities:</p>
<ul>
<li>Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.</li>
<li>Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.</li>
<li>Provide white-glove deployment support for Anthropic products in enterprise environments.</li>
<li>Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.</li>
<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.</li>
<li>Build long-term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.</li>
<li>Travel frequently (25-50%) to customer sites to build in-person with customers.</li>
<li>Be a champion for Anthropic&#39;s mission in the field.</li>
</ul>
<p>You May Be a Good Fit If You Have:</p>
<ul>
<li>4+ years of experience in a technical, customer-facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.</li>
<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.</li>
<li>Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications.</li>
<li>High agency with an ability to navigate ambiguity present in complex organizations.</li>
<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.</li>
<li>Passion for advancing safe, beneficial AI systems through creative technical applications.</li>
<li>Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.</li>
<li>A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.</li>
<li>Experience with enterprise IT systems and/or AI deployment patterns is a plus.</li>
</ul>
<p>Annual Salary: £225,000-£255,000 GBP</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>£225,000-£255,000 GBP</Salaryrange>
      <Skills>Python, LLMs, Advanced prompt engineering, Agent development, Evaluation frameworks, Deployment at scale, Strong programming skills, High agency, High cooperation mindset, Passion for advancing safe, beneficial AI systems</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a public benefit corporation that creates reliable, interpretable, and steerable AI systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5012991008</Applyto>
      <Location>London, UK</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>cc68844d-80b</externalid>
      <Title>Forward Deployed Engineer, Applied AI (Federal Civilian)</Title>
      <Description><![CDATA[<p>As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic federal civilian (and, occasionally, state and local) customers to drive transformational AI adoption.</p>
<p>You will collaborate closely with customer teams to ship advanced AI applications that solve real-world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.</p>
<p>Working closely with our Post-Sales, Product, and Engineering teams, you&#39;ll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>
<p>You will sit at the frontier of government AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments.</p>
<p>This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.</p>
<p><strong>Core Responsibilities:</strong></p>
<ul>
<li>Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.</li>
</ul>
<ul>
<li>Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.</li>
</ul>
<ul>
<li>Provide white-glove deployment support for Anthropic products in federal government environments.</li>
</ul>
<ul>
<li>Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.</li>
</ul>
<ul>
<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.</li>
</ul>
<ul>
<li>Build long-term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.</li>
</ul>
<ul>
<li>Travel frequently (25-50%) to customer sites to build in-person with customers.</li>
</ul>
<ul>
<li>Be a champion for Anthropic’s mission in the field.</li>
</ul>
<p><strong>Requirements:</strong></p>
<ul>
<li>Security clearance not required, but a plus</li>
</ul>
<ul>
<li>Must have prior experience working with US federal civilian, state, or local agencies</li>
</ul>
<ul>
<li>4+ years of experience in a technical, customer-facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.</li>
</ul>
<ul>
<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.</li>
</ul>
<ul>
<li>Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications</li>
</ul>
<ul>
<li>High agency with an ability to navigate ambiguity present in complex organizations.</li>
</ul>
<ul>
<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.</li>
</ul>
<ul>
<li>Passion for advancing safe, beneficial AI systems through creative technical applications.</li>
</ul>
<ul>
<li>Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.</li>
</ul>
<ul>
<li>Experience with government IT systems and/or AI deployment patterns is a plus.</li>
</ul>
<p><strong>Benefits:</strong></p>
<ul>
<li>Annual compensation range: $280,000-$320,000 USD</li>
</ul>
<ul>
<li>Competitive compensation and benefits</li>
</ul>
<ul>
<li>Optional equity donation matching</li>
</ul>
<ul>
<li>Generous vacation and parental leave</li>
</ul>
<ul>
<li>Flexible working hours</li>
</ul>
<ul>
<li>Lovely office space in which to collaborate with colleagues</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$280,000-$320,000 USD</Salaryrange>
      <Skills>Python, LLMs, Advanced prompt engineering, Agent development, Evaluation frameworks, Deployment at scale, Government IT systems, AI deployment patterns</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a public benefit corporation headquartered in San Francisco, focused on creating reliable, interpretable, and steerable AI systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5079562008</Applyto>
      <Location>San Francisco, CA | New York City, NY | Washington, DC</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>9cf039ba-fe5</externalid>
      <Title>Forward Deployed Engineer, Applied AI</Title>
      <Description><![CDATA[<p>As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption.</p>
<p>You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.</p>
<p>Working closely with our Post-Sales, Product, and Engineering teams, you&#39;ll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>
<p>You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.</p>
<p>Responsibilities:</p>
<ul>
<li>Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.</li>
</ul>
<ul>
<li>Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.</li>
</ul>
<ul>
<li>Provide white glove deployment support for Anthropic products in enterprise environments.</li>
</ul>
<ul>
<li>Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.</li>
</ul>
<ul>
<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.</li>
</ul>
<ul>
<li>Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.</li>
</ul>
<ul>
<li>Travel frequently (25-50%) to customer sites to build in person with customers.</li>
</ul>
<ul>
<li>Be a champion for Anthropic’s mission in the field.</li>
</ul>
<p>You May Be a Good Fit If You Have:</p>
<ul>
<li>4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.</li>
</ul>
<ul>
<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.</li>
</ul>
<ul>
<li>Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Python, LLMs, Agent Development, Evaluation Frameworks, Deployment at Scale, MCP Servers, Sub-Agents, Agent Skills</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a technology company that develops artificial intelligence systems. It was founded in 2021.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5121563008</Applyto>
      <Location>Paris, France</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>75b24abc-833</externalid>
      <Title>Forward Deployed Engineer, Applied AI</Title>
      <Description><![CDATA[<p>As a Forward Deployed Engineer (FDE) at Anthropic, you will embed directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real-world business problems.</p>
<p>Working closely with our Post-Sales, Product, and Engineering teams, you&#39;ll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>
<p>Responsibilities:</p>
<ul>
<li>Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.</li>
<li>Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.</li>
<li>Provide white-glove deployment support for Anthropic products in enterprise environments.</li>
<li>Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.</li>
<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.</li>
<li>Build long-term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.</li>
<li>Travel frequently (25-50%) to customer sites to build in-person with customers.</li>
<li>Be a champion for Anthropic&#39;s mission in the field.</li>
</ul>
<p>You May Be a Good Fit If You Have:</p>
<ul>
<li>4+ years of experience in a technical, customer-facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.</li>
<li>Native or C1 German speaker with fluent English proficiency</li>
<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.</li>
<li>Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications</li>
<li>High agency with an ability to navigate ambiguity present in complex organizations.</li>
<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.</li>
<li>Passion for advancing safe, beneficial AI systems through creative technical applications.</li>
<li>Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.</li>
<li>A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.</li>
<li>Experience with enterprise IT systems and/or AI deployment patterns is a plus.</li>
</ul>
<p>Annual Compensation Range: €205,000-€220,000 EUR</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>€205,000-€220,000 EUR</Salaryrange>
      <Skills>Python, LLMs, Advanced prompt engineering, Agent development, Evaluation frameworks, Deployment at scale, Strong programming skills, German language, English language, TypeScript, Java, Enterprise IT systems, AI deployment patterns</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a public benefit corporation that creates reliable, interpretable, and steerable AI systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5121561008</Applyto>
      <Location>Munich, Germany</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>bcf08781-1d2</externalid>
      <Title>Applied AI Engineer (Digital Natives Business)</Title>
      <Description><![CDATA[<p><strong>About the Role</strong></p>
<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide a focused portfolio of customers from technical discovery through successful deployment. You&#39;ll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of Claude APIs and move their products closer to the frontier, while maintaining our high standards for safety and reliability.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Serve as a specialist technical advisor to Anthropic customers as they deploy new products &amp; workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success</li>
</ul>
<ul>
<li>Partner with account executives and solutions architects to translate customer business requirements into technical solutions</li>
</ul>
<ul>
<li>Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites</li>
</ul>
<ul>
<li>Lead hands-on technical workshops and code reviews with customer engineering teams</li>
</ul>
<ul>
<li>Identify common design patterns and contribute insights back to our Product and Engineering teams</li>
</ul>
<ul>
<li>Create scalable public and internal assets, documenting the latest LLM prompting, evaling, agentic, and architecture techniques</li>
</ul>
<ul>
<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</li>
</ul>
<ul>
<li>Travel occasionally to customer sites for workshops, implementation support, and building relationships</li>
</ul>
<ul>
<li>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</li>
</ul>
<p><strong>Requirements</strong></p>
<ul>
<li>4+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers. Former technical founders are also encouraged to apply.</li>
</ul>
<ul>
<li>Production experience with LLMs including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale</li>
</ul>
<ul>
<li>Strong programming skills with proficiency in Python or TypeScript and experience building production applications</li>
</ul>
<ul>
<li>Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems</li>
</ul>
<ul>
<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity</li>
</ul>
<ul>
<li>Passion for advancing safe, beneficial AI systems through creative technical applications</li>
</ul>
<ul>
<li>Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach</li>
</ul>
<p><strong>Benefits</strong></p>
<ul>
<li>Competitive compensation and benefits</li>
</ul>
<ul>
<li>Optional equity donation matching</li>
</ul>
<ul>
<li>Generous vacation and parental leave</li>
</ul>
<ul>
<li>Flexible working hours</li>
</ul>
<ul>
<li>Lovely office space in which to collaborate with colleagues</li>
</ul>
<p><strong>Visa Sponsorship</strong></p>
<p>We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$200,000-$320,000 USD</Salaryrange>
      <Skills>LLMs, prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, deployment at scale, Python, TypeScript, production applications</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a public benefit corporation that creates reliable, interpretable, and steerable AI systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5057647008</Applyto>
      <Location>San Francisco, CA | New York City, NY | Seattle, WA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>98d7335f-4d4</externalid>
      <Title>Applied AI Engineer</Title>
      <Description><![CDATA[<p><strong>About Anthropic</strong></p>
<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>
<p><strong>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from technical discovery through successful deployment. You&#39;ll combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with LLMs and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</strong></p>
<p><strong>Responsibilities:</strong></p>
<ul>
<li>Serve as a technical advisor to Anthropic customers as they deploy new products &amp; workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success</li>
</ul>
<ul>
<li>Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation</li>
</ul>
<ul>
<li>Guide technical architecture decisions and help customers build state-of-the-art products &amp; workflows with LLMs via API</li>
</ul>
<ul>
<li>Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API</li>
</ul>
<ul>
<li>Lead hands-on technical workshops and code reviews with customer engineering teams</li>
</ul>
<ul>
<li>Identify common design patterns and contribute insights back to our Product and Engineering teams</li>
</ul>
<ul>
<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</li>
</ul>
<ul>
<li>Travel occasionally to customer sites for workshops, implementation support, and building relationships</li>
</ul>
<ul>
<li>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</li>
</ul>
<p><strong>You may be a good fit if you have:</strong></p>
<ul>
<li>4+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers</li>
</ul>
<ul>
<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale</li>
</ul>
<ul>
<li>Strong programming skills with proficiency in Python and experience building production applications</li>
</ul>
<ul>
<li>Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.</li>
</ul>
<ul>
<li>Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems</li>
</ul>
<ul>
<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity</li>
</ul>
<ul>
<li>Passion for advancing safe, beneficial AI systems through creative technical applications</li>
</ul>
<ul>
<li>Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach</li>
</ul>
<p><strong>Deadline to apply: None. Applications will be reviewed on a rolling basis.</strong></p>
<p><strong>Logistics</strong></p>
<p><strong>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</strong></p>
<p><strong>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</strong></p>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</strong></p>
<p><strong>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</strong></p>
<p><strong>How we&#39;re different</strong></p>
<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Production experience with LLMs, Advanced prompt engineering, Agent development, Evaluation frameworks, Deployment at scale, Strong programming skills with proficiency in Python, Experience building production applications, Expertise working with common LLM implementation patterns, Prompt engineering, Evaluation frameworks, Agent frameworks, Retrieval frameworks, Intellectual openness, High cooperation mindset, Passion for advancing safe, beneficial AI systems, Exceptional communication skills</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic&apos;s mission is to create reliable, interpretable, and steerable AI systems. The company is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</Employerdescription>
      <Employerwebsite>https://job-boards.greenhouse.io</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5055488008</Applyto>
      <Location>Tokyo, Japan</Location>
      <Country></Country>
      <Postedate>2026-03-08</Postedate>
    </job>
    <job>
      <externalid>74e83779-8ca</externalid>
      <Title>Applied AI Engineer</Title>
      <Description><![CDATA[<p><strong>About Anthropic</strong></p>
<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>
<p><strong>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from technical discovery through successful deployment. You&#39;ll combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with LLMs and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</strong></p>
<p><strong>Responsibilities:</strong></p>
<ul>
<li>Serve as a technical advisor to Anthropic customers as they deploy new products &amp; workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success</li>
<li>Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation</li>
<li>Guide technical architecture decisions and help customers build state-of-the-art products &amp; workflows with LLMs via API</li>
<li>Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API</li>
<li>Lead hands-on technical workshops and code reviews with customer engineering teams</li>
<li>Identify common design patterns and contribute insights back to our Product and Engineering teams</li>
<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</li>
<li>Travel occasionally to customer sites for workshops, implementation support, and building relationships</li>
<li>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</li>
</ul>
<p><strong>You may be a good fit if you have:</strong></p>
<ul>
<li>4+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers</li>
<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale</li>
<li>Strong programming skills with proficiency in Python and experience building production applications</li>
<li>Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.</li>
<li>Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems</li>
<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity</li>
<li>Passion for advancing safe, beneficial AI systems through creative technical applications</li>
<li>Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach</li>
<li>Fluent in both Korean and English</li>
</ul>
<p><strong>Logistics</strong></p>
<p>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</p>
<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</p>
<p><strong>How we&#39;re different</strong></p>
<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Production experience with LLMs, Advanced prompt engineering, Agent development, Evaluation frameworks, Deployment at scale, Strong programming skills with proficiency in Python, Experience building production applications, Expertise working with common LLM implementation patterns, Prompt engineering, Evaluation frameworks, Agent frameworks, Retrieval frameworks, Intellectual openness, High cooperation mindset, Passion for advancing safe, beneficial AI systems, Exceptional communication skills, Fluent in both Korean and English</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic&apos;s mission is to create reliable, interpretable, and steerable AI systems. The company is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</Employerdescription>
      <Employerwebsite>https://job-boards.greenhouse.io</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5014500008</Applyto>
      <Location>Seoul, South Korea</Location>
      <Country></Country>
      <Postedate>2026-03-08</Postedate>
    </job>
    <job>
      <externalid>92d7adcb-fb1</externalid>
      <Title>Forward Deployed Engineer, Applied AI</Title>
      <Description><![CDATA[<p><strong>About Anthropic</strong></p>
<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>
<p><strong>Responsibilities</strong></p>
<p>As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.</p>
<p>Working closely with our Post-Sales, Product, and Engineering teams, you&#39;ll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>
<p><strong>You May Be a Good Fit If You Have</strong></p>
<ul>
<li>4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.</li>
</ul>
<ul>
<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.</li>
</ul>
<ul>
<li>Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications</li>
</ul>
<ul>
<li>High agency with an ability to navigate ambiguity present in complex organizations.</li>
</ul>
<ul>
<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.</li>
</ul>
<ul>
<li>Passion for advancing safe, beneficial AI systems through creative technical applications.</li>
</ul>
<ul>
<li>Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.</li>
</ul>
<ul>
<li>A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.</li>
</ul>
<ul>
<li>Experience with enterprise IT systems and/or AI deployment patterns is a plus.</li>
</ul>
<p><strong>Logistics</strong></p>
<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><strong>How we&#39;re different</strong></p>
<p>We believe that the highest performing teams are those that are diverse, inclusive, and equitable. We&#39;re committed to building a workplace where everyone has the opportunity to succeed, regardless of their background, identity, or experience.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>£225,000 - £255,000GBP</Salaryrange>
      <Skills>Python, LLMs, prompt engineering, agent development, evaluation frameworks, deployment at scale, software engineering, consulting experience, TypeScript, Java, enterprise IT systems, AI deployment patterns</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic&apos;s mission is to create reliable, interpretable, and steerable AI systems. The company is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</Employerdescription>
      <Employerwebsite>https://job-boards.greenhouse.io</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5012991008</Applyto>
      <Location>London, UK</Location>
      <Country></Country>
      <Postedate>2026-03-08</Postedate>
    </job>
    <job>
      <externalid>f45d2240-92e</externalid>
      <Title>Forward Deployed Engineer, Applied AI</Title>
      <Description><![CDATA[<p><strong>About Anthropic</strong></p>
<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>
<p><strong>Responsibilities</strong></p>
<p>As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.</p>
<p>Working closely with our Post-Sales, Product, and Engineering teams, you&#39;ll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>
<p><strong>You May Be a Good Fit If You Have</strong></p>
<ul>
<li>4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.</li>
</ul>
<ul>
<li>Native or C1 German speaker with fluent English proficiency</li>
</ul>
<ul>
<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.</li>
</ul>
<ul>
<li>Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications</li>
</ul>
<ul>
<li>High agency with an ability to navigate ambiguity present in complex organisations.</li>
</ul>
<ul>
<li>High cooperation mindset for cross-organisational collaboration, balancing competing priorities with integrity.</li>
</ul>
<ul>
<li>Passion for advancing safe, beneficial AI systems through creative technical applications.</li>
</ul>
<ul>
<li>Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.</li>
</ul>
<p><strong>Logistics</strong></p>
<ul>
<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>
</ul>
<ul>
<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>
</ul>
<ul>
<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>€205.000 - €220.000EUR</Salaryrange>
      <Skills>Python, LLMs, prompt engineering, agent development, evaluation frameworks, deployment at scale, strong programming skills, TypeScript, Java, German language</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a quickly growing organisation with a mission to create reliable, interpretable, and steerable AI systems. They aim to build beneficial AI systems that are safe and beneficial for users and society as a whole.</Employerdescription>
      <Employerwebsite>https://job-boards.greenhouse.io</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5121561008</Applyto>
      <Location>Munich, Germany</Location>
      <Country></Country>
      <Postedate>2026-03-08</Postedate>
    </job>
    <job>
      <externalid>c4b4fd54-188</externalid>
      <Title>Forward Deployed Engineer, Applied AI (Federal Civilian)</Title>
      <Description><![CDATA[<p><strong>About the Role:</strong></p>
<p>As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic federal civilian (and, occasionally, state and local) customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.</p>
<p>Working closely with our Post-Sales, Product, and Engineering teams, you&#39;ll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>
<p>You will sit at the frontier of government AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.</p>
<p><strong>Core Responsibilities:</strong></p>
<ul>
<li>Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.</li>
<li>Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.</li>
<li>Provide white glove deployment support for Anthropic products in federal government environments.</li>
<li>Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.</li>
<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.</li>
<li>Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.</li>
<li>Travel frequently (25-50%) to customer sites to build in person with customers.</li>
<li>Be a champion for Anthropic’s mission in the field.</li>
</ul>
<p><strong>You Might Be a Good Fit If You Have:</strong></p>
<ul>
<li>Security clearance not required, but a plus</li>
<li>Must have prior experience working with US federal civilian, state, or local agencies</li>
<li>4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.</li>
<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.</li>
<li>Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications</li>
<li>High agency with an ability to navigate ambiguity present in complex organizations.</li>
<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.</li>
<li>Passion for advancing safe, beneficial AI systems through creative technical applications.</li>
<li>Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.</li>
<li>Experience with government IT systems and/or AI deployment patterns is a plus.</li>
</ul>
<p><strong>Logistics</strong></p>
<ul>
<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>
<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>
<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>
<li>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</li>
<li>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before you start working with us.</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$280,000 - $320,000 USD</Salaryrange>
      <Skills>Python, LLMs, AI product development stacks, Government IT systems, AI deployment patterns, TypeScript, Java, Prompt engineering, Agent development, Evaluation frameworks</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic&apos;s mission is to create reliable, interpretable, and steerable AI systems. The company is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</Employerdescription>
      <Employerwebsite>https://job-boards.greenhouse.io</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5079562008</Applyto>
      <Location>San Francisco, CA | New York City, NY | Washington, DC</Location>
      <Country></Country>
      <Postedate>2026-03-08</Postedate>
    </job>
    <job>
      <externalid>447e0764-67d</externalid>
      <Title>Forward Deployed Engineer, Applied AI</Title>
      <Description><![CDATA[<p><strong>About the role:</strong></p>
<p>As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.</p>
<p>Working closely with our Post-Sales, Product, and Engineering teams, you&#39;ll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>
<p>You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.</p>
<p><strong>Responsibilities:</strong></p>
<ul>
<li>Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.</li>
<li>Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.</li>
<li>Provide white glove deployment support for Anthropic products in enterprise environments.</li>
<li>Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.</li>
<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.</li>
<li>Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.</li>
<li>Travel frequently (25-50%) to customer sites to build in person with customers.</li>
<li>Be a champion for Anthropic’s mission in the field.</li>
</ul>
<p><strong>You May Be a Good Fit If You Have:</strong></p>
<ul>
<li>4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.</li>
<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.</li>
<li>Strong programming skills with proficiency in Python (and ideally in one or more additional languages like Typescript, Java, etc) and experience shipping production applications</li>
<li>High agency with an ability to navigate ambiguity present in complex organizations.</li>
<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.</li>
<li>Passion for advancing safe, beneficial AI systems through creative technical applications.</li>
<li>Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.</li>
<li>A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.</li>
<li>Experience with enterprise IT systems and/or AI deployment patterns is a plus.</li>
<li>Experience working as an FDE or in a professional services context is a plus.</li>
</ul>
<p><strong>Logistics</strong></p>
<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.** Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</strong></p>
<p><strong>Your safety matters to us.** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees</strong></p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$200,000 - $300,000USD</Salaryrange>
      <Skills>Python, LLMs, prompt engineering, agent development, evaluation frameworks, deployment at scale, MCP servers, sub-agents, agent skills, enterprise IT systems, AI deployment patterns, Typescript, Java, financial services, healthcare/life sciences, professional services</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic&apos;s mission is to create reliable, interpretable, and steerable AI systems. The company is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/4985877008</Applyto>
      <Location>Atlanta, GA; Austin, TX; Boston, MA; Chicago, IL; New York City, NY; Seattle, WA; San Francisco, CA; New York City, NY; Washington, DC</Location>
      <Country></Country>
      <Postedate>2026-03-08</Postedate>
    </job>
  </jobs>
</source>