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    <job>
      <externalid>297256fb-31a</externalid>
      <Title>Applied AI Engineer, Beneficial Deployments</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>About Beneficial Deployments</strong></p>
<p>Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organisations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor.</p>
<p><strong>About the Role</strong></p>
<p>We&#39;re looking for an Applied AI Engineer to join our Beneficial Deployments team. You&#39;ll use your deep technical expertise to help partners accelerate their impact through advising on evals, hill-climbing on harnesses, prototyping new agents, etc. You will also work on building ecosystem-level tooling and infrastructure to scale impact beyond individual partnerships.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Serve as a deep technical partner to mission-driven organisations through advising on evals, agent architectures, context engineering, cost optimisation, and more</li>
<li>Provide hands-on support to partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development</li>
<li>Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP&#39;s, and Agent Skills</li>
<li>Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research</li>
<li>Create technical presentations, demos, and scalable technical content (documentation, tutorials, sample code) to accelerate partner adoption and self-service</li>
<li>Help shape team processes and culture as we scale from 1 to N</li>
<li>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</li>
</ul>
<p><strong>You Might Be a Good Fit If You Have</strong></p>
<ul>
<li>4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder</li>
<li>Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale</li>
<li>Builder credibility that earns trust with technical founders and engineering teams—you&#39;ve shipped products and can speak from experience</li>
<li>Experience working in ed-tech, healthcare, scientific research, nonprofit, or other mission-driven organisations, understanding their unique challenges and constraints</li>
<li>A love of teaching, mentoring, and helping others succeed</li>
<li>A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission</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>
</ul>
<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.</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 team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal</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>$280,000 - $300,000 USD</Salaryrange>
      <Skills>Software Engineer, Forward Deployed Engineer, Technical founder, LLM-powered applications, Prompting, Context engineering, Agent architectures, Evaluation frameworks, Deployment at scale, Ed-tech, Healthcare, Scientific research, Nonprofit, Mission-driven organisations, Public goods infrastructure, Benchmarks, MCP&apos;s, Agent Skills, Technical presentations, Demos, Scalable technical content, Documentation, Tutorials, Sample code, Pair programming, Prototyping, Code contributions, Team processes, 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 company that aims to create reliable, interpretable, and steerable AI systems. It has a quickly growing team of 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/5068226008</Applyto>
      <Location>San Francisco, CA | New York City, NY</Location>
      <Country></Country>
      <Postedate>2026-03-08</Postedate>
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