Mercor

Python Backend Developer - FastMCP

Stellenbeschreibung:

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: Software Engineer
Type: Contract
Compensation: $40–$50/hour

Role Responsibilities

  • Develop MCP servers using Python and FastMCP to enhance the RL Studio platform .
  • Integrate web or desktop applications into RL Studio for seamless operation.
  • Work with APIs , Docker , and Linux environments to ensure robust service configuration.
  • Implement hooks for app state management to maintain app stability and testability.
  • Test applications locally and debug build, runtime, and permission issues to meet platform standards.
  • Ensure apps comply with platform validation and deployment requirements for production readiness.

Qualifications

Must-Have

  • Strong Python skills.
  • Experience with APIs , backend systems, and debugging.
  • Familiarity with Docker , Linux , and local testing workflows.
  • Ability to work with configuration files and deployment pipelines.
  • Problem-solving skills and attention to technical detail.

Preferred

  • Experience with FastMCP or similar frameworks.
  • Experience integrating third-party apps or developer tools.
  • Familiarity with web apps, databases, and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check:
  • For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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Stelleninformationen

  • Veröffentlichungsdatum:

    05 Mai 2026
  • Standort:

    Berlin

    Einsatzort:

    Los Angeles
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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