Applied AI Engineer, Beneficial Deployments Anthropic

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.

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.

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.

• 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

• 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:

£240,000 — £255,000 GBP

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 internal job level requirements for the position

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.

Visa sponsorship: We do sponsor visas! However, we aren'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.

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…