{"id":717726,"url":"https://alion.io/job/foresitelabs-software-engineer-ai-agents","title":"Software Engineer, AI Agents","company":{"id":675002,"name":"Foresite Labs","domain":"foresitelabs.com","url":"https://alion.io/company/foresitelabs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":200000,"max":240000,"currency":"USD","period":"year","gross":null,"usd_annual":240000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pulumi","optional":false},{"name":"Pydantic AI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Tailwind CSS","optional":false},{"name":"Terraform","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"Unix","optional":false},{"name":"LangSmith","optional":true},{"name":"LLM Evaluation","optional":true},{"name":"Multi-Agent Systems","optional":true}],"status":"live","first_seen_at":"2026-05-01T18:25:06Z","employer_posted_date":"2026-09-01","last_verified_at":"2026-10-17T19:34:43Z","board_verified":true,"closed_at":null,"days_open":169,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":168},"description":"About Foresite Labs\nForesite 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. \nThe Role\nWe'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.\nIt'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.\nWhat You’ll Do\nBuild agent loops end-to-end - tool/function calling, planning, sub-agent orchestration, memory, and control flow that runs reliably and unsupervised\n Build the eval and observability harness - the tests, metrics, tracing, and guardrails that make agentic systems trustworthy in production\nTurn scientific and operational workflows into agents that take real action across our platform\nShip full-stack features: React/Tailwind front ends and backend services that put these agents in front of scientists\nDesign and launch production-grade systems, services, data pipelines, and machine learning infrastructure from scratch\nUse frontier AI-native development tools (e.g. Claude Code) to move fast\nUphold engineering standards through code review, testing, and peer mentorship\nWhat You’ll Bring\n5+ years of professional software engineering, with greenfield systems you've shipped to production\n Hands-on experience building LLM/agent systems in production - agent loops, tool calling, RAG, and evals (frameworks like LangChain, Pydantic AI, or equivalent)\nFluency in TypeScript plus a modern backend language (Python, Go, or Java)\nWorking knowledge of AWS/GCP/Azure core services and infrastructure-as-code (Terraform, CDK, or Pulumi)\nComfort in Unix, Docker, and CI/CD pipelines\nEarly-stage execution mindset and strong ownership\nClear communication across technical and non-technical audiences\nNice to Have\nExperience with LLM eval / observability tooling (e.g. LangSmith) and prompt/loop iteration at scale\nMulti-agent orchestration in production\nInterest in biology, genetics, or human health - no life-sciences background required\nWhy Foresite Labs\nBuild frontier agentic products that measurably accelerate real drug discovery\nGreenfield work, end-to-end ownership, and architecture decisions without bureaucracy\nA small, senior team working directly across software, ML, and biology\nCompetitive base of $200,000-$240,000, meaningful equity, comprehensive healthcare, generous PTO, and hybrid/remote flexibility\nLocation: San Francisco, CA\nSalary range: $200,000 - $240,000\nForesite Labs is an equal opportunity employer. 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