Anthropic, a public benefit corporation headquartered in San Francisco, is looking for an Applied AI Engineer for its Beneficial Deployments team focused on life sciences. The role involves building and scaling AI solutions with flagship research partners such as Howard Hughes Medical Institute and The Allen Institute, developing reusable infrastructure and tooling, and bridging research and production. The position is hybrid, requiring presence in one of Anthropic’s offices at least 25% of the time, and offers a competitive annual salary range of $280,000–$320,000 USD.
Applied AI Engineer, Beneficial Deployments (Life Sciences) na Anthropic
Híbrido - San Francisco, CA, USA; New York City, NY, USA
Ver mais vagas na AnthropicSalary
USD 280,000 - 320,000
Requirements
Skills
- 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder
- Deep research experience in life sciences, biomedical research, or scientific computing
- Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks
- Builder credibility from shipping production code
- Scrappy mentality – comfortable wearing multiple hats and driving clarity in ambiguous situations
- Bachelor’s degree or an equivalent combination of education, training, and/or experience
Responsibilities
- Partner deeply with flagship life sciences research institutions to understand their scientific workflows and build hands‑on with their engineering teams, taking projects from early exploration to production systems
- Develop reusable ecosystem infrastructure, such as MCP servers for domain‑specific data sources, instruments, scientifically‑grounded benchmarks, and agent skills that other institutions can adopt
- Identify hard problems in deploying AI in life sciences (heterogeneous data, auditability requirements, prototype‑to‑trust gap) and feed findings back to product, engineering, and research
- Create technical content and documentation that lets partners self‑serve, scaling successful solutions globally
Technologies
LLMMCP serversBenchmarksAgent skills
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