Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Communication @ 3
Mentoring @ 6
LLM @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The organisation builds AI systems intended to be safe and beneficial for users and society. The team includes researchers, engineers, policy experts, and business leaders collaborating on large-scale research efforts and applied work.
About Beneficial Deployments
Beneficial Deployments ensures AI reaches and benefits the communities that need it most by partnering with nonprofits, foundations, and mission-driven organisations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor.
Role overview
You will join the Beneficial Deployments team as an Applied AI Engineer. The role uses deep technical expertise to help partners accelerate impact through advising on evaluations, improving harnesses, prototyping agents, and building ecosystem-level tooling and infrastructure to scale impact beyond individual partnerships. The role includes hands-on engineering, advising, and creating scalable technical content.
Responsibilities
- Serve as a deep technical partner to mission-driven organisations: advise on evals, agent architectures, context engineering, cost optimisation, and more
- Provide hands-on support to partner engineering teams via pair programming, prototyping, and code contributions
- Develop public-goods infrastructure that benefits ecosystems through benchmarks, MCPs, and Agent Skills
- Identify challenges unique to social-impact partners and contribute findings back to product, engineering, and research teams
- Create technical presentations, demos, documentation, tutorials, and sample code to accelerate partner adoption and self-service
- Help shape team processes and culture as the team scales
- Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Requirements / Qualifications
- 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
- Demonstrable product shipping experience and credibility with technical founders and engineering teams
- Experience working in ed-tech, healthcare, scientific research, nonprofit, or other mission-driven organisations (understanding their constraints)
- A strong interest in teaching, mentoring, and helping others succeed
- Comfortable wearing multiple hats, building from scratch, and driving clarity in ambiguous situations
- Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience
Compensation
- Annual Salary: £240,000 - £255,000 GBP
Logistics
- Location: London, UK
- Location-based hybrid policy: staff expected to be in one of the offices at least 25% of the time (some roles may require more)
- Visa sponsorship: Anthropic states they do sponsor visas and will make reasonable efforts and retain an immigration lawyer to assist, though not guaranteed for every role/candidate
- Minimum years of experience: will correlate with internal job level requirements for the position
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office space for collaboration.
How we're different
Anthropic works as a cohesive team on a few large-scale research efforts, values impact and communication, and pursues directions related to steerable, trustworthy AI. The description references the organisation's research heritage and examples of prior directions (e.g., GPT-3, circuit-based interpretability, scaling laws, learning from human preferences).