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.
Applied AI Engineer, Beneficial Deployments en Anthropic
Híbrido - London, UK
Más vacantes en AnthropicSalary
GBP 240,000 - 255,000
Requirements
Skills
- 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
- Bachelor’s degree or an equivalent combination of education, training, and/or experience
- Field of study relevant to the role as demonstrated through coursework, training, or professional experience
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
Technologies
LLMPromptingContext engineeringAgent architectureEvaluation frameworksDeployment at scaleBenchmarksAgent Skills
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