MCP & Tools Python Developer - Agent Evaluation Infrastructure

1 week ago - Be among the first 25 applicantsThis 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.What We DoThe 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 ForCalling 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 ProjectWe’re hunting 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 doingDeveloping and maintaining MCP‑compatible evaluation serversImplementing logic to check agent actions against scenario definitionsCreating or extending tools that writers and QAs use to test agentsWorking closely with infrastructure engineers to ensure compatibilityOccasionally helping with test writing or debug sessions when neededAlthough 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.RequirementsThe ideal contributor will have:4+ years of Python development experience, ideally in backend or toolsSolid experience building APIs, testing frameworks, or protocol‑based interfacesUnderstanding of Docker, Linux CLI, and HTTP‑based communicationAbility to integrate new tools into existing infrastructuresFamiliarity with how LLM agents are prompted, executed, and evaluatedClear documentation and communication skills – you’ll work with QA and writersWe also value applicants who have:Experience with Model Context Protocol (MCP) or similar structured agent‑server interfacesKnowledge of FastAPI or similar async web frameworksExperience working with LLM logs, scoring functions, or sandbox environmentsAbility to support dev environments (devcontainers, CI configs, linters)JS experienceBenefitsGet paid for your expertise, with rates that can go up to $30/hour depending on your skills, experience, and project needsTake part in a flexible, remote, freelance project that fits around your primary professional or academic commitmentsParticipate in an advanced AI project and gain valuable experience to enhance your portfolioInfluence how future AI models understand and communicate in your field of expertiseApply 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.#J-18808-Ljbffr