AI Harness Engineer
Core
Building agentic systems, RAG, and orchestration patterns within real workflows for life science and diagnostic markets, ensuring governance and quality.
Role type
Senior IC AI Harness Engineer (Agentic Systems)
Builds
Working agentic systems, registered skills, and evaluation sets integrated into domain workflows.
Domain
Life science, diagnostics, and applied market laboratories.
Deliverable
production ML models | product features
Required skills
Full-stack engineering, LLM application experience, agent building, RAG, evaluation, observability, deployment, MCP protocol familiarity, composable system architecture, regulated environment operation.
Preferred skills
High agency, tolerance for ambiguity, ability to influence stakeholders, curiosity about AI, lifelong learning mindset.
Technologies
LLMs, RAG, MCP, A2A, GxP frameworks.
Responsibilities
Design architecture for agent use cases, author minimal and testable skills in the registry, integrate through MCP spine, build quality evals and observability, ensure risk-tier compliance with human-in-the-loop, contribute reusable assets to the platform.
Seniority
Senior, hands-on IC
