Backend Software Engineer - Python - AI Trainer

• Build MCP servers in Python using FastMCP.
• Integrate web or desktop applications into RL Studio.
• Work with APIs, Docker, Linux environments, and service configuration.
• Implement populate/snapshot hooks for app state management.
• Test apps locally and debug build, runtime, and permission issues.
• Ensure apps meet platform validation and deployment requirements., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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.

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.