Anthropic· Applied AI· San Francisco, CA | New York City, NY
Applied AI Engineer, Beneficial Deployments
Classified Tasks (13)
Automate 0%Augment 85%Human-Only 15%
Augment (11)
AI assists, human decides
Advise partners on evaluation design and implementation (evals).
technical
Optimize evaluation harnesses through hill-climbing and tuning.
technical
Prototype new agents to accelerate partner solutions.
technical
Build ecosystem-level tooling and infrastructure to scale impact beyond individual partnerships.
technical
Serve as a deep technical partner to mission-driven organizations by advising on agent architectures, context engineering, and cost optimization.
technical
Provide hands-on support to partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development.
technical
Develop public goods infrastructure for ecosystems through benchmarks, MCPs, and Agent Skills.
technical
Identify challenges unique to social impact partners and document those challenges.
analytical
Communicate findings and contribute improvements back to product, engineering, and research teams.
communication
Create technical presentations and demos to accelerate partner adoption.
communication
Produce scalable technical content including documentation, tutorials, and sample code to enable partner self-service.
communication
Human-Only (2)
Requires human judgment
Help shape team processes and culture as the team scales from 1 to N.
leadership
Travel to customer sites to run workshops, conduct technical deep dives, and build relationships.
communication
Job description
About Anthropic Anthropic’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. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor. About the Role We're looking for an Applied AI Engineer to join our Beneficial Deployments team. You’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. Responsibilities Serve as a deep technical partner to mission-driven organizations through advising on evals, agent architectures, context engineering, cost optimization, and more Provide hands-on support to partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP’s, and Agent Skills Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research Create technical presentations, demos, and scalable technical content (documentation, tutorials, sample code) to accelerate partner adoption and self-service Help shape team processes and culture as we scale from 1 to N Travel occasionally to customer sites for workshops, technical deep dives, and relationship building You Might Be a Good Fit If You Have 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale Builder credibility that earns trust with technical founders and engineering teams—you've shipped products and can speak from experience Experience working in ed-tech, healthcare, scientific research, nonprofit, or other mission-driven organizations, understanding their unique challenges and constraints A love of teaching, mentoring, and helping others succeed A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the inter