Applied AI Engineer, Beneficial Deployments (Life Sciences)

The role

This role sits in a newly formed applied AI group within the Beneficial Deployments area, which works with nonprofits and mission-driven organizations. The engineer works side by side with partner research institutions, building agents into their daily scientific operations rather than advising from a distance. The position also produces shared infrastructure that other institutions can adopt.

What you would do

• Embed with leading life sciences research organizations to map their scientific workflows from start to finish.
• Move projects from early prototypes into production systems that become part of everyday research work.
• Build reusable connectors for domain data sources such as genomics platforms, literature databases, and experiment repositories.
• Create scientifically grounded evaluation benchmarks and reusable agent skills that other groups can adopt without starting over.
• Surface the hard problems of deploying AI in biology, such as messy heterogeneous data and audit needs, and share findings with product, engineering, and research teams.
• Write documentation and technical guides so partners can self-serve and results scale without heavy hand-holding.

What they asked for

• Four or more years shipping production software or working as a forward-deployed engineer or technical founder.
• Substantive research background in life sciences, biomedical work, or computational science.
• Hands-on experience building LLM-based applications, including prompt design, context management, agent design, and evaluation.
• Proven delivery of dependable software in a hands-on engineering role.
• Resourceful mindset that thrives on varied tasks, builds from zero, and provides direction when situations are unclear.
• Bachelor's degree or equivalent experience in a relevant field.

Nice to have

• Background in genomics, neuroscience, or drug discovery.
• Comfort engaging deeply with academic researchers on technical topics.