MCP & Tools Python Developer - Agent Evaluation Infrastructure

4+ years of Python development experience, ideally in backend or tools Solid experience building APIs, testing frameworks, or protocol-based interfaces Understanding of Docker, Linux CLI, and HTTP-based communication Ability to integrate new tools into existing infrastructures Familiarity with how LLM agents are prompted, executed, and evaluated Clear documentation and communication skills Experience with Model Context Protocol (MCP) or similar structured agent-server interfaces Knowledge of FastAPI or similar async web frameworks Experience working with LLM logs, scoring functions, or sandbox environments Ability to support dev environments (devcontainers, CI configs, linters) JS experience

Developing and maintaining MCP-compatible evaluation servers Implementing logic to check agent actions against scenario definitions Creating or extending tools that writers and QAs use to test agents Working closely with infrastructure engineers to ensure compatibility Occasionally helping with test writing or debug sessions when needed