Senior AI Engineer (3 roles)

About the Role: We’re building AI into STARLIMS, a platform used across quality manufacturing, life sciences, public health, forensics, and environmental sciences. This role is focused on agentic systems: software that reasons over a task, calls tools, works through multiple steps, and hands the result to a person to review and approve. Our users work under strict accuracy, traceability, and validation requirements. The engineering challenge is making non-deterministic systems reliable, observable, and controllable enough to be trusted, tested, and shipped. You’ll work on both the platform and runtime our agents execute on and the production agents built on top of it. What You’ll Work On: Agent Platform & Runtime (Core Focus) Design and build the runtime our agents execute on: planning and execution loops, tool calling, state management, durable execution, and failure recovery Build the layer through which agents reach platform data and external systems safely Design coordination, delegation, and handoff across agents and workflows where needed Make agent behavior versionable, testable, measurable, and regression-safe across releases Build reusable primitives so new agents are configured rather than rebuilt from scratch Building Agents (Core Focus) Take a domain workflow from expert conversation to a working agent: goals, actions, execution flow, failure handling, and success criteria Ground agent decisions and outputs in authoritative enterprise data rather than relying on model knowledge alone Implement human-in-the-loop by design, including approval gates, override capture, uncertainty handling, and clear evidence for agent decisions. Agents recommend and draft; people decide Close the loop: turn user corrections and overrides into signals that measurably improve the agent Evaluation & Reliability Build evaluation harnesses for multi-step behavior, not single-response accuracy: task completion, tool-call correctness, groundedness, trajectory quality, and regressi