Applied AI Engineer, Beneficial Deployments (Life Sciences)

What you’ll do

• Partner deeply with flagship life sciences research institutions, building hands-on with their engineering teams from exploration to production.
• Develop reusable ecosystem infrastructure: MCP servers for domain-specific data sources, instruments, benchmarks, and agent skills.
• Identify hard problems in deploying AI in life sciences (heterogeneous data, auditability, prototype-to-trust gap) and feed findings back to product/engineering/research.
• Create technical content and documentation enabling partners to self-serve and scale globally.

What you’ll bring

• Deep research experience in life sciences, biomedical research, or scientific computing (genomics, neuroscience, or drug discovery a bonus).
• Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.
• Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder.
• Scrappy mentality—comfortable wearing multiple hats, building from scratch, driving clarity in ambiguity.

Technologies

LLM · MCP servers · agent architectures · prompting · context engineering · evaluation frameworks · genomics platforms · scientific computing

About Anthropic

Frontier AI lab building Claude — safety-focused foundation models sold via API, Claude.ai, Claude Code, and enterprise platform; ~80% revenue from business customers.

Series G