
Compensation
£240,000-£255,000/yrDescription
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
Stack
Model Context ProtocolLLMs
- Posted
- Jul 14, 2026
- Last seen
- Jul 14, 2026
- First seen
- Jul 14, 2026
