Mindrift is seeking a freelance MCP & Tools Python Developer to join a project focused on developing agent evaluation infrastructure. You will be responsible for building and maintaining Model Context Protocol (MCP) servers and internal tools used to run and assess agent performance.

What You'll Do

Develop and maintain MCP-compatible evaluation servers.
Implement logic to check agent actions against defined scenario expectations.
Create or extend tools used by writers and QA professionals to test agent behavior.
Work closely with infrastructure engineers to ensure system compatibility.
Occasionally assist with writing tests or debug sessions as needed.

What We're Looking For

4+ years of Python development experience, ideally in backend or tooling roles.
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 for collaboration with QA and writers.

Nice to Have

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 developer environments (devcontainers, CI configs, linters).
JavaScript experience.

Technical Stack

Python
Docker
Linux CLI
HTTP-based communication
FastAPI
Model Context Protocol (MCP)

Team & Environment

You will work closely with infrastructure engineers, QA, and writers.

Benefits & Compensation

Get paid for your expertise, with rates that can go up to $50/hour.
Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments.
Participate in an advanced AI project and gain valuable experience to enhance your portfolio.
Influence how future AI models understand and communicate in your field of expertise.