Autonomous Lab Agent Engineer - Frontier AI

Eli Lilly and Company; San Francisco (CA); On-site; USD 69,000 - 196,000; Full time

Benefits offered by this job

401(k) plan

Health benefits

Paid time off

Job summary

Eli Lilly and Company is seeking an Agent Automation Engineer for its Frontier AI team to design and deploy autonomous agent systems that interact with lab hardware and data pipelines. You will prototype, productionize, and collaborate with chemists, biologists, and automation engineers to scale autonomous experimentation.

The role focuses on building robust agent workflows, integrating with laboratory instruments, and advancing cloud-native orchestration to accelerate molecule discovery, with a

Qualifications

• MS + 1 yr or BS + 3 yrs equivalent experience in Computer Science, Mathematics, Engineering, or related discipline with demonstrated wet-lab automation experience.

Responsibilities

• Build multi-agent systems with robust orchestration, state management, error recovery, and tool integration.
• Prototype and iterate rapidly on agent planning strategies, memory systems, and human-in-the-loop patterns.
• Design agent architectures that interface with lab automation platforms (Hamilton, Tecan, Opentrons) for closed-loop experimental execution.
• Partner with automation engineers and scientists to transition prototypes into reliable lab operations.
• Deploy and maintain containerized services using Docker and Kubernetes with GitOps and CI/CD practices.

Skills

Python

LangChain

Automation engineering

Lab automation

Docker/Kubernetes

US work authorization

Education

MS in CS/Engineering or related

BS in CS/Engineering or related

Tools

Hamilton

Tecan

Opentrons

Docker

Kubernetes

Job description

Eli Lilly and Company is seeking an Agent Automation Engineer for its Frontier AI team to design and deploy autonomous agent systems that interact with lab hardware and data pipelines. You will prototype, productionize, and collaborate with chemists, biologists, and automation engineers to scale autonomous experimentation.

The role focuses on building robust agent workflows, integrating with laboratory instruments, and advancing cloud-native orchestration to accelerate molecule discovery, with a