Anthropic
Applied AI Engineer, Beneficial Deployments (Life Sciences)
$280K–$320K
San Francisco, CA +2 · Full-time · Posted Sep 28, 2026
- Location
- San Francisco, CA
New York City, NY
San Francisco, California, United States - Experience
- 4+ years in a listed software engineering, forward-deployed engineering, or technical founder role; logistics also states experience years correlate with internal job-level requirements.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; field relevant to the role, demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; the company says it will make every reasonable effort to obtain a visa after an offer.
About the job
Build and deploy Claude-powered tools and infrastructure with life sciences research partners to accelerate scientific workflows and scale adoption across the field.
What you'll do
- Work with research institutions and their engineering teams to develop and integrate production systems into scientific workflows.
- Build reusable ecosystem tools, including MCP servers, benchmarks, and agent skills for life sciences.
- Identify deployment challenges and share findings with product, engineering, and research teams; create partner documentation.
What they ask for
- 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder, with production systems experience.
- Deep research experience in life sciences, biomedical research, or scientific computing.
- Experience building LLM-powered tools or applications, including prompting, context engineering, agent architectures, or evaluation frameworks.
Nice to have
- Study or expertise in genomics, neuroscience, or drug discovery.
Pay
$280,000 — $320,000 USD (base salary)
Tools
Claude, MCP servers
AI focus
Develop and deploy Claude-powered agents and other LLM applications for life sciences research, plus reusable tooling, benchmarks, and agent skills.
Model-written summary · the original posting is authoritative