GenAI Python Backend Developer – MCP and AI Agents

Posted 2026-05-06
Remote, USA Full-time Immediate Start




This is a remote position.



We are looking for a GenAI Python Backend Engineer to join a team building enterprise AI agent infrastructure. The role focuses on developing backend services that enable LLM-based agents to interact with enterprise systems, manage state, and execute workflows securely and reliably. This is a hands-on engineering role working with modern agent frameworks and distributed Python services, with a strong focus on Model Context Protocol (MCP) as a core component of the architecture.

Responsibilities



  • Design and build MCP servers used by AI agents

  • Develop backend services using Python with asynchronous programming patterns

  • Implement REST APIs supporting agent orchestration workflows

  • Build event-driven integrations and webhook-based communication

  • Implement distributed state management using Redis

  • Troubleshoot and optimise reliability and performance of distributed AI systems






Requirements



  • Strong Python backend development experience

  • Experience building GenAI or LLM-based applications

  • Hands-on experience with agent frameworks such as LangGraph or LangChain

  • Experience working with Model Context Protocol (MCP) or building MCP servers

  • Experience designing REST APIs and distributed backend systems

  • Experience with Redis or similar state management solutions

  • Experience with Docker and containerised environments

  • Experience implementing secure authentication flows including OAuth2

  • Experience integrating with enterprise SSO and Azure Entra ID

  • Understanding of API security, token validation, and secure service communication

  • Experience supporting CI pipelines and automated testing practices



Nice to have



  • Experience with Azure pipelines or GitHub Actions

  • Experience with observability tools such as Datadog

  • Exposure to modern AI-assisted development practices






Benefits




  • Solid, competitive salary

  • Work in a multinational environment on international projects

  • Comprehensive healthcare

  • Long-term B2B contract with a stable project pipeline

  • Remote work model





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