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Madiffpl logo

GenAI Python Backend Developer – MCP and AI Agents

Madiffpl
Posted May 28, 2026, 3:53 PM UTC
🌍Probably Worldwide🏠Remote📁Engineering & Development
Is this job info correct?

Job Description 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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