MCP & Tools Python Developer - Agent Evaluation Infrastructure at Mindrift – United States | Jobyssey

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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 We Do

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.

Who We’re Looking For

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’re looking for someone who can bring a hands‑on approach to technical challenges, whether breaking into systems to expose weaknesses or building secure tools and processes. We value contributors with a passion for continuous learning, experimentation, and adaptability.

About The Project

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.

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

Although we’re only looking for experts for this current project, contributors with consistent high‑quality submissions may receive an invitation for ongoing collaboration across future projects.

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

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