AI Engineer (Agent Systems & LLMs)

GenBio AI develops multiscale foundation models to decode and simulate human biology, aiming to unlock challenges in drug discovery and healthcare. The role involves building AI scientists for autonomous biomedical research, focusing on designing biological tasks and ensuring high-fidelity scientific outputs.

Responsibilities:

• Domain-Specific Agent Evaluation: Design, build, and scale rigorous evaluation frameworks to measure agent reasoning, scientific accuracy, and tool-use performance against real-world biological benchmarks
• Applied Biological Agents: Build and deploy applied AI agents and reasoning world models tailored for complex scientific workflows, orchestrating tasks across drug discovery, computational chemistry, and biological simulation
• Scientific Environment Architecture: Architect fast, secure, and observable environments where AI agents can execute biological simulations
• Research Engineering: Translate experimental research concepts into robust, shippable product features, maintaining high engineering standards while understanding domain-specific use-cases and data types
• Cross-Disciplinary Optimization: Bridge the gap between biological simulation and modern AI infrastructure, optimizing workflows to ensure models are scalable and reliable in production