Applied AI Engineer, Beneficial Deployments (Life Sciences)

Job Description

Partner with life sciences research institutions to understand their workflows and build AI systems integrated into day-to-day scientific work, from early exploration through production. Develop reusable ecosystem tools such as MCP servers, benchmarks, and agent skills, and share deployment findings and documentation to help partners adopt and scale these solutions.

Requirements: Requires at least four years of experience as a software engineer, forward-deployed engineer, or technical founder, including experience shipping production systems used by real users. Candidates should have deep life sciences, biomedical research, or scientific computing experience and experience building LLM-powered tools; a relevant bachelor's degree or equivalent education, training, or experience is required.

Key Skills: Software Engineering, Life Sciences Research, Biomedical Research, Scientific Computing, Large Language Model Applications, Prompting, Context Engineering, Agent Architectures, Evaluation Frameworks, Production Systems, MCP Servers, Benchmark Development, Genomics, Neuroscience, Drug Discovery, Technical Documentation

Benefits: Competitive Compensation, Optional Equity Donation Matching, Generous Vacation, Parental Leave, Flexible Working Hours