<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <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>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>
  </jobs>
</source>