This is a remote position.

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  Design and build MCP servers used by AI agents
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  Develop backend services using Python with asynchronous programming patterns
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  Implement REST APIs supporting agent orchestration workflows
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  Build event-driven integrations and webhook-based communication
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  Implement distributed state management using Redis
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  Troubleshoot and optimise reliability and performance of distributed AI systems

Requirements

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  Strong Python backend development experience
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  Experience building GenAI or LLM-based applications
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  Hands-on experience with agent frameworks such as LangGraph or LangChain
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  Experience working with Model Context Protocol (MCP) or building MCP servers
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  Experience designing REST APIs and distributed backend systems
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  Experience with Redis or similar state management solutions
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  Experience with Docker and containerised environments
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  Experience implementing secure authentication flows including OAuth2
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  Experience integrating with enterprise SSO and Azure Entra ID
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  Understanding of API security, token validation, and secure service communication
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  Experience supporting CI pipelines and automated testing practices

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  Experience with Azure pipelines or GitHub Actions
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  Experience with observability tools such as Datadog
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  Exposure to modern AI-assisted development practices

Benefits

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  Solid, competitive salary
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  Work in a multinational environment on international projects
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  Comprehensive healthcare
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  Long-term B2B contract with a stable project pipeline
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  Remote work model