Member of Technical Staff

• Define and implement the skill-and-eval contract, running end-to-end for one real vertical.
• Build an opinionated platform for agent deployment and lifecycle management.
• Develop a high-throughput orchestration engine designed to manage agents and evaluations at scale.
• Work at the seam between the surface people use, the operating map underneath it, and the shared platform services below that.
• Partner closely with Applied Science, training their own models leveraging the harness.

Requirements

• Proven experience shipping agentic systems into production environments where reliability is critical.
• Demonstrated track record of building tools or frameworks for engineering teams.
• Proficiency in designing and managing evaluation frameworks.
• Hands-on experience building Model Context Protocol (MCP) implementations.
• Experience managing prompts and skills in production environments.
• Familiarity with authorization frameworks and best practices.
• Comfort and experience in product discovery.
• Nice-to-have skills include: Experience in insurance or another regulated operational domain; Learning from logged human decisions; Built internal tooling for agentic software development; Enough frontend range (React/Next.js); Contributions to open-source agent frameworks; Experience partnering with applied-science teams.

Core Competencies

Demonstrates expertise in building and managing agentic systems, with a focus on reliability and evaluation frameworks. Proficient in collaborating with applied science teams and developing tools for engineering efficiency.