Agentic AI Engineer - Life Science Discovery

Algen Biotechnologies; San Francisco (CA); In loco; USD 150.000 - 210.000; Tempo pieno

Descrizione del lavoro

Algen Biotechnologies in San Francisco is seeking an Agentic AI Engineer (Life Science) to build software enabling an AI agent to plan analyses, choose tools, and recover when a step fails. You’ll collaborate with biologists and chemists to define success criteria, then implement production-ready solutions.

The role combines engineering rigor with a scientific mindset, introducing new ideas into production and supporting AI-powered discovery in drug research.

Competenze

• 2+ years of industry experience building production software with ownership of backend, service, or feature.
• Familiarity with LLM APIs, tool calling, agent runtimes, or workflow orchestration.
• Experience building an LLM-powered agent that calls tools or coordinates a workflow and how you tested it.
• Experience using data to judge system changes and explain tradeoffs.

Mansioni

• Advance agent harness by bringing latest research into production and experiment with multi-agent coordination, model routing, memory, planning, and tool use.
• Turn real research questions into test cases with defined success criteria and trace steps a scientist would verify.
• Compare changes against a baseline on representative tasks, measuring scientific correctness, completion rate, latency and cost before release.
• Make long-running analyses resilient by sandboxing, saving progress, and resuming interrupted jobs without repeats.
• Trace failures from decision through tool calls and outputs, reproduce, fix, and add tests for next release.

Conoscenze

LLM APIs

Tool calling

Agent runtimes

Workflow orchestration

Web development

Strumenti

React

TypeScript

FastAPI

Descrizione del lavoro

Algen Biotechnologies in San Francisco is seeking an Agentic AI Engineer (Life Science) to build software enabling an AI agent to plan analyses, choose tools, and recover when a step fails. You’ll collaborate with biologists and chemists to define success criteria, then implement production-ready solutions.

The role combines engineering rigor with a scientific mindset, introducing new ideas into production and supporting AI-powered discovery in drug research.