autonomous laboratory systems, including scheduling, workflow execution, state management, error handling, and recovery. Develop the agentic layer of our platforms, covering tool interfaces for LLM agents, planning and decision logic, and the guardrails and human approval steps that sit around anything touching physical hardware. Close control loops with sensing … established review, release, and quality processes. We value people who have seenboth, andcan tell which mode a given problem calls for. Experience building on LLM APIs in production, including tool use, structured output, evaluation, and cost and latency management. Familiarity with the Model Context Protocol or similar agenttoolingstandards. Experience with ...