MCP & Tools Python Developer - Agent Evaluation Infrastructure

Mindrift; Oklahoma; Remote; USD 80,000 - 100,000; Part time

Job summary

A leading AI technology company is seeking a hands-on Python Engineer to work on developing Model Context Protocol (MCP) servers. The role encompasses implementing agent action verification and tool creation for testing. Ideal candidates will have over 4 years of Python experience, particularly with backend development. Join us in a flexible, remote project that fits around your commitments while contributing to the future of AI. Competitive rates of up to $55/hour based on experience.

Benefits

Rates up to $55/hour

Flexible remote project

Valuable experience in advanced AI

Qualifications

• 4+ years of Python development experience, ideally in backend or tools.
• Solid experience building APIs and testing frameworks.
• Clear documentation and communication skills.

Responsibilities

• Developing and maintaining MCP-compatible evaluation servers.
• Implementing logic to check agent actions against scenario definitions.
• Creating or extending tools for testing agents.

Skills

Python development experience

Building APIs

Testing frameworks

Understanding of Docker

Linux CLI

HTTP-based communication

Documentation and communication skills

Tools

FastAPI

Job description

Overview

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.

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.

Qualifications

• 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 goup to $55/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.