MCP & Tools Python Developer - Agent Evaluation Infrastructure
Summary
Build and maintain Python-based evaluation servers for AI agents using MCP, APIs, and Docker, while collaborating with QA and writers to test and refine agent behavior.
Overview
At Mindrift, innovation meets opportunity. Our platform, launched and powered by Toloka, connects domain experts with cutting‑edge AI projects from innovative tech clients. We believe in using the power of collective human intelligence to ethically shape the future of AI.
Location requirement: This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.
What you’ll be doing
- 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.
Requirements
- 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 – you’ll work with QA and writers.
We also value applicants who 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 dev environments (devcontainers, CI configs, linters).
- JS experience.
Benefits
- Get paid for your expertise, with rates that can go up to $80/hour depending on your skills, experience, and project needs.
- 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.
Seniority level
Mid‑Senior level
Employment type
Part‑time
Job function
Other
Industries
IT Services and IT Consulting
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