Head of Track Engineering managing engineering specialists for track systems in a significant railway infrastructure project. Overseeing design, compliance, and operational excellence as part of EWR.
About the role
- MCP Tool Developer responsible for building scalable Model Context Protocol tools for autonomous AI agents. Ensuring seamless and secure interaction of AI agents with internal and external systems.
Responsibilities
- Build and maintain MCP servers that expose internal data and functions to LLMs.
- Write high-quality schemas so agents understand when and how to call specific functions.
- Implement robust auth-proxy layers to ensure agents only access authorised data.
- Build "wrappers" around legacy systems and modern APIs.
- Manage how data is exposed to the Model Context, balancing "signal" vs "noise".
- Ensure development, staging, and production toolsets are stable and synced.
- Build error-handling that provides meaningful feedback for self-correction.
- Monitor and throttle usage to prevent runaway API costs or system strain.
- Maintain documentation of available tools for the wider AI Ops team.
Requirements
- Strong TypeScript/JavaScript (Node.js) or Python.
- Deep understanding of the Model Context Protocol (MCP) or similar standards (LSP, OpenAPI/Swagger).
- Proven experience with complex API ecosystems and auth protocols (OAuth2, JWT).
- Proficiency in JSON-Schema and structured data formats.
Benefits
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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