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Foresite Labs is seeking a software engineer to build end-to-end agent loops, tool calling, and orchestration for production use in our data pipelines and ML platforms.
You will collaborate with ML engineers, scientists, and bioinformaticians on a small senior team, shipping full-stack features and production-grade infrastructure. Hybrid/remote flexibility is offered along with competitive compensation.
Foresite Labs is a translational R&D team that derives insights from precision measurement and population-scale biology and genetics to address unmet clinical needs. We use human genetics to systematically dissect and understand human disease biology and develop and critically evaluate therapeutic hypotheses. We engage in translational research, transforming basic insights into therapeutic opportunities. Our work supports drug discovery and company formation, and provides the core around which new ideas are realized and incubated. We offer competitive salaries, excellent benefits, a flexible work environment, and the opportunity to learn from top thinkers in various disciplines. Foresite Labs is headquartered in San Francisco.
We're hiring a software engineer to help create the data pipelines, machine learning infrastructure, and agentic systems that power our science. On the agentic side, that means writing the code that runs the loop an AI agent operates inside, not one-off prompts — designing how agents plan, call tools, orchestrate sub-agents, keep memory, check their own work, and decide when they're done, then shipping them into production to do real work across our genetics and drug-discovery pipeline. This is \"loop engineering\": the model writes the prompts; you build and harden the machinery around it.
It's a full-stack, high-ownership role on a small senior team. You'll take systems from a blank repo to production and work shoulder-to-shoulder with ML engineers, computational biologists, and scientists.
Salary range: $200,000 - $240,000
Foresite Labs is an equal opportunity employer.
We thrive on diversity and collaboration.