MCP & Tools Python Developer - Agent Evaluation Infrastructure

Opportunity

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.

At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI.

The Mindrift platform, launched and powered by Toloka, connects domain experts with cutting‑edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real‑world expertise from across the globe.

Calling all security researchers, engineers, and penetration testers with a strong foundation in problem‑solving, offensive security, and AI‑related risk assessment. If you thrive on digging into complex systems, uncovering hidden vulnerabilities, and thinking creatively under constraints, join us! We value contributors with a passion for continuous learning, experimentation, and adaptability.

We’re on the hunt for hands‑on Python engineers for a new project focused on developing Model Context Protocol (MCP) servers and internal tools for running and evaluating agent behavior. You’ll implement base methods for agent action verification, integrate with internal and client infrastructures, and help fill tooling gaps across the team.

• Develop and maintain MCP‑compatible evaluation servers
• Implement logic to check agent actions against scenario definitions
• Create or extend tools that writers and QAs use to test agents
• Work closely with infrastructure engineers to ensure compatibility
• Occasionally help with test writing or debug sessions when needed

Apply to this post, qualify, and get the chance to contribute to a project aligned with your skills, on your own schedule. Shape the future of AI while building tools that benefit everyone.

• 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

• 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

Mid‑Senior level

Part‑time

Other

IT Services and IT Consulting

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