{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/title/applied-ai-engineer"},"x-facet":{"type":"title","slug":"applied-ai-engineer","display":"Applied Ai Engineer","count":7},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d2b1604a-c20"},"title":"Applied AI Engineer","description":"<p>We are seeking an Applied AI Engineer to join our team at Komodo Health. As an Applied AI Engineer, you will design and deploy end-to-end AI solutions that power real products and internal tools. You&#39;ll work at the intersection of applied research, engineering, and product development, bringing modern AI techniques into scalable production systems.</p>\n<p>You will collaborate closely with product, platform, and data teams to build AI capabilities that transform how healthcare data is explored, understood, and operationalized. Your work will involve designing, building, and deploying agent-based AI pipelines integrated into real customer-facing products, as well as building internal AI productivity tools that accelerate engineering workflows across Komodo.</p>\n<p>In this role, you will have the opportunity to work on a wide range of projects, from developing AI-powered applications to integrating AI capabilities across backend services and product interfaces. You will also contribute reusable patterns to Komodo&#39;s AI infrastructure and internal tooling ecosystem.</p>\n<p>To be successful in this role, you will need to have experience building production-grade AI systems or AI-powered applications, strong proficiency in Python, and experience working with LLMs, prompt engineering, or agent-based architectures. You will also need to be able to integrate AI capabilities across backend services and product interfaces, and have experience designing evaluation frameworks, testing strategies, or monitoring systems for AI features.</p>\n<p>If you are passionate about using AI to drive innovation and improvement in healthcare, and have the skills and experience to succeed in this role, we encourage you to apply.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Design and deploy end-to-end AI solutions that power real products and internal tools</li>\n<li>Collaborate closely with product, platform, and data teams to build AI capabilities that transform how healthcare data is explored, understood, and operationalized</li>\n<li>Develop agent-based AI pipelines integrated into real customer-facing products</li>\n<li>Build internal AI productivity tools that accelerate engineering workflows across Komodo</li>\n<li>Contribute reusable patterns to Komodo&#39;s AI infrastructure and internal tooling ecosystem</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Experience building production-grade AI systems or AI-powered applications</li>\n<li>Strong proficiency in Python</li>\n<li>Experience working with LLMs, prompt engineering, or agent-based architectures</li>\n<li>Ability to integrate AI capabilities across backend services and product interfaces</li>\n<li>Experience designing evaluation frameworks, testing strategies, or monitoring systems for AI features</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Healthcare data expertise</li>\n<li>Experience with distributed computing frameworks (e.g., Spark, Snowflake, Databricks) for large-scale data processing</li>\n</ul>\n<p><strong>Location</strong></p>\n<p>This role is located in San Francisco, California, and is available for remote work.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Comprehensive health, dental, and vision insurance</li>\n<li>Flexible time off and holidays</li>\n<li>401(k) with company match</li>\n<li>Disability insurance and life insurance</li>\n<li>Leaves of absence in accordance with applicable state and local laws and regulations and company policy</li>\n</ul>\n<p><strong>Equal Opportunity Employer</strong></p>\n<p>Komodo Health is an equal opportunity employer and welcomes applications from all qualified candidates. We are committed to diversity and inclusion in the workplace and strive to create a work environment that is free from discrimination and harassment.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d2b1604a-c20","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Komodo Health","sameAs":"https://www.komodohealth.com/","logo":"https://logos.yubhub.co/komodohealth.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/komodohealth/jobs/8512178002","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$191,000 - $224,000 per year","x-skills-required":["Python","LLMs","Prompt Engineering","Agent-Based Architectures","Distributed Computing Frameworks","Spark","Snowflake","Databricks"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:50:46.591Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"Python, LLMs, Prompt Engineering, Agent-Based Architectures, Distributed Computing Frameworks, Spark, Snowflake, Databricks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":191000,"maxValue":224000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9e4ad056-714"},"title":"Applied AI Engineer","description":"<p>Job Description:</p>\n<p>About Anthropic</p>\n<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>\n<p>Responsibilities:</p>\n<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>\n<p>Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation</p>\n<p>Guide technical architecture decisions and help customers build state-of-the-art products &amp; workflows with LLMs via API</p>\n<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>\n<p>Lead hands-on technical workshops and code reviews with customer engineering teams</p>\n<p>Identify common design patterns and contribute insights back to our Product and Engineering teams</p>\n<p>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</p>\n<p>Travel occasionally to customer sites for workshops, implementation support, and building relationships</p>\n<p>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</p>\n<p>Requirements:</p>\n<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>\n<p>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale</p>\n<p>Strong programming skills with proficiency in Python and experience building production applications</p>\n<p>Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.</p>\n<p>Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems</p>\n<p>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity</p>\n<p>Passion for advancing safe, beneficial AI systems through creative technical applications</p>\n<p>Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach</p>\n<p>Fluent in both Korean and English</p>\n<p>Logistics:</p>\n<p>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>\n<p>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</p>\n<p>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</p>\n<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>\n<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>\n<p>How we&#39;re different:</p>\n<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>\n<p>Come work with us!</p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. 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You will combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with Large Language Models (LLMs) and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>Responsibilities:</p>\n<ul>\n<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>\n<li>Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation</li>\n<li>Guide technical architecture decisions and help customers build state-of-the-art products &amp; workflows with LLMs via API</li>\n<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>\n<li>Lead hands-on technical workshops and code reviews with customer engineering teams</li>\n<li>Identify common design patterns and contribute insights back to our Product and Engineering teams</li>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</li>\n<li>Travel occasionally to customer sites for workshops, implementation support, and building relationships</li>\n<li>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>4+ years of experience in a technical role such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers</li>\n<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale</li>\n<li>Strong programming skills with proficiency in Python and experience building production applications</li>\n<li>Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.</li>\n<li>Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems</li>\n<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity</li>\n<li>Passion for advancing safe, beneficial AI systems through creative technical applications</li>\n<li>Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f4bfc542-67c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5055488008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Large Language Models (LLMs)","API","Technical Architecture","Customer Success","Account Management","Technical Workshops","Code Reviews","Design Patterns","AI Product Development"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:39:14.191Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo, Japan"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Large Language Models (LLMs), API, Technical Architecture, Customer Success, Account Management, Technical Workshops, Code Reviews, Design Patterns, AI Product Development"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8eac982d-cd8"},"title":"Applied AI Engineer","description":"<p>As an Applied AI Engineer at Anthropic, you will be a trusted technical advisor helping tech-forward companies build on the Claude Developer Platform as they grow and scale. You&#39;ll lead deep technical engagements, partnering directly with engineering teams to help them develop their products on top of Claude - advising on implementation, agent design, and working alongside them to build at the frontier of AI.</p>\n<p>Working closely with Applied AI Architects, Account Executives, and Anthropic&#39;s Product and Engineering teams, you&#39;ll guide customers through deep technical engagements. You&#39;ll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable tech-forward businesses to succeed with Claude.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Serve as a deep technical advisor to high-growth, tech-forward companies, working alongside them to build innovative use cases that push the boundaries of AI</li>\n</ul>\n<ul>\n<li>Work hands-on with customer engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development</li>\n</ul>\n<ul>\n<li>Develop prototypes and technical documentation,including evaluation suites, AI engineering techniques, and architecture diagrams,that enable customers to build and scale with Claude</li>\n</ul>\n<ul>\n<li>Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements</li>\n</ul>\n<ul>\n<li>Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team</li>\n</ul>\n<ul>\n<li>Create technical content for developer audiences including documentation, tutorials, and sample code</li>\n</ul>\n<ul>\n<li>Foster community engagement through hackathons, webinars, technical office hours, and developer-focused events</li>\n</ul>\n<ul>\n<li>Travel to customer sites for workshops, implementation support, and relationship building</li>\n</ul>\n<p>You may be a good fit if you have</p>\n<ul>\n<li>4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder</li>\n</ul>\n<ul>\n<li>Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions</li>\n</ul>\n<ul>\n<li>Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale</li>\n</ul>\n<ul>\n<li>Strong programming skills with proficiency in Python and experience building production applications</li>\n</ul>\n<ul>\n<li>Experience working with high-growth, tech-forward companies</li>\n</ul>\n<ul>\n<li>Ability to context-switch across industries (healthcare, fintech, etc.) and use cases</li>\n</ul>\n<ul>\n<li>Builder credibility that earns trust with technical founders and engineering leaders - you&#39;ve shipped products and can speak from experience</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans</li>\n</ul>\n<ul>\n<li>Experience facilitating technical workshops, hackathons, or developer-focused events</li>\n</ul>\n<ul>\n<li>Passion for making powerful technology safe and beneficial</li>\n</ul>\n<p>The annual compensation range for this role is £225,000-£240,000 GBP.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8eac982d-cd8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5116274008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£225,000-£240,000 GBP","x-skills-required":["Software Engineer","Forward Deployed Engineer","Technical Founder","Python","LLM-powered applications","Prompting","Context engineering","Agent architectures","Evaluation frameworks","Deployment at scale"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:37:19.159Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software Engineer, Forward Deployed Engineer, Technical Founder, Python, LLM-powered applications, Prompting, Context engineering, Agent architectures, Evaluation frameworks, Deployment at scale","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":225000,"maxValue":240000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7dd68303-658"},"title":"Applied AI Engineer","description":"<p><strong>Job Description</strong></p>\n<p>Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We&#39;re combining first-principles thinking with cutting-edge technology to build a radically better energy system.</p>\n<p>We&#39;re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.</p>\n<p>But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models.</li>\n<li>Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows.</li>\n<li>Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms.</li>\n<li>Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing.</li>\n<li>Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts.</li>\n<li>Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space.</li>\n<li>Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Minimum 3 years of engineering experience</li>\n<li>Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning</li>\n<li>Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)</li>\n<li>Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production</li>\n<li>Solid understanding of cloud technologies, containerisation and building scalable AI applications</li>\n<li>Ability to integrate AI/ML models into real-world applications, focusing on usability and performance</li>\n<li>Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment</li>\n<li>Experience working with large datasets, particularly in relation to demand and supply forecasting</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and an equity sign-on bonus</li>\n<li>Biannual bonus scheme</li>\n<li>Fully expensed tech to match your needs</li>\n<li>Paid annual leave</li>\n<li>Breakfast and dinner allowance for office based employees</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_7dd68303-658","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Fuse Energy","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/kGPL8Jr9qCPDq7bxuz8Y2f/hybrid-applied-ai-engineer-in-dubai-at-fuse-energy","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","TensorFlow","PyTorch","Cloud technologies","Containerisation","Scalable AI applications","Large-scale models","AI/ML libraries"],"x-skills-preferred":["Energy markets","Trading strategies","Weather forecasting","Energy demand patterns","Production modelling","Natural Language Processing"],"datePosted":"2026-03-09T16:54:28.359Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dubai"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TensorFlow, PyTorch, Cloud technologies, Containerisation, Scalable AI applications, Large-scale models, AI/ML libraries, Energy markets, Trading strategies, Weather forecasting, Energy demand patterns, Production modelling, Natural Language Processing"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_98d7335f-4d4"},"title":"Applied AI Engineer","description":"<p><strong>About Anthropic</strong></p>\n<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>\n<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>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<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>\n</ul>\n<ul>\n<li>Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers build state-of-the-art products &amp; workflows with LLMs via API</li>\n</ul>\n<ul>\n<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>\n</ul>\n<ul>\n<li>Lead hands-on technical workshops and code reviews with customer engineering teams</li>\n</ul>\n<ul>\n<li>Identify common design patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</li>\n</ul>\n<ul>\n<li>Travel occasionally to customer sites for workshops, implementation support, and building relationships</li>\n</ul>\n<ul>\n<li>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<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>\n</ul>\n<ul>\n<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale</li>\n</ul>\n<ul>\n<li>Strong programming skills with proficiency in Python and experience building production applications</li>\n</ul>\n<ul>\n<li>Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.</li>\n</ul>\n<ul>\n<li>Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems</li>\n</ul>\n<ul>\n<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity</li>\n</ul>\n<ul>\n<li>Passion for advancing safe, beneficial AI systems through creative technical applications</li>\n</ul>\n<ul>\n<li>Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach</li>\n</ul>\n<p><strong>Deadline to apply: None. Applications will be reviewed on a rolling basis.</strong></p>\n<p><strong>Logistics</strong></p>\n<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>\n<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>\n<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>\n<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>\n<p><strong>How we&#39;re different</strong></p>\n<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>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_98d7335f-4d4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5055488008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["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"],"x-skills-preferred":["Intellectual openness","High cooperation mindset","Passion for advancing safe, beneficial AI systems","Exceptional communication skills"],"datePosted":"2026-03-08T13:59:34.314Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo, Japan"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","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"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_74e83779-8ca"},"title":"Applied AI Engineer","description":"<p><strong>About Anthropic</strong></p>\n<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>\n<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>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<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>\n<li>Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation</li>\n<li>Guide technical architecture decisions and help customers build state-of-the-art products &amp; workflows with LLMs via API</li>\n<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>\n<li>Lead hands-on technical workshops and code reviews with customer engineering teams</li>\n<li>Identify common design patterns and contribute insights back to our Product and Engineering teams</li>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</li>\n<li>Travel occasionally to customer sites for workshops, implementation support, and building relationships</li>\n<li>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<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>\n<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale</li>\n<li>Strong programming skills with proficiency in Python and experience building production applications</li>\n<li>Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.</li>\n<li>Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems</li>\n<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity</li>\n<li>Passion for advancing safe, beneficial AI systems through creative technical applications</li>\n<li>Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach</li>\n<li>Fluent in both Korean and English</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<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>\n<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>\n<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>\n<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>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. 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