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    <job>
      <externalid>402af178-8b8</externalid>
      <Title>Applied AI Engineer, Beneficial Deployments</Title>
      <Description><![CDATA[<p>We&#39;re looking for an Applied AI Engineer to join our Beneficial Deployments team. As an Applied AI Engineer, 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>Responsibilities:</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>You might be a good fit if you have:</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>The annual compensation range for this role is $280,000-$300,000 USD.</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 Engineering, LLM-powered applications, Prompting, Context engineering, Agent architectures, Evaluation frameworks, Deployment at scale</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Beneficial Deployments</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Beneficial Deployments is a team within Anthropic, a public benefit corporation, that focuses on deploying AI to benefit communities in need.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</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>2026-04-18</Postedate>
    </job>
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