Senior AI Platform Engineer - MCP AWS Agentic AI

Key Responsibilities

• Lead the architecture, design and implementation of a scalable, production-grade MCP gateway across an established microservices platform.
• Develop secure MCP servers, tools and integrations, enabling LLMs and AI agents to interact with existing APIs and backend services.
• Design and deliver AI-powered applications and agentic workflows using TypeScript, Node.js, Python and AWS.
• Establish best practices around AI integration, authentication, authorisation, security and observability.
• Work closely with the CTO and engineering teams to define technical architecture, delivery priorities and the wider AI roadmap.
• Provide technical leadership, mentor engineers and drive the adoption of AI

Key Requirements

• Strong commercial experience in senior backend, platform or software engineering roles, with the ability to lead technical design and delivery.
• Advanced TypeScript, JavaScript and Node.js experience, particularly within microservices and distributed architectures.
• Strong hands-on AWS experience, designing and deploying scalable, cloud-native applications.
• Practical experience with Model Context Protocol (MCP), including MCP servers, gateways or tool integrations.
• Experience integrating LLMs, AI agents and agentic workflows into production applications.
• Strong understanding of REST APIs, service integration, authentication, authorisation and secure software development.
• Experience taking ownership of complex engineering projects, making architectural decisions and mentoring other engineers.
• Desirable: Python, FastAPI, LangGraph, LangChain or similar AI frameworks.
• JSON-RPC, SSE, WebSockets and event-driven architectures.
• Experience with RAG, LLM function calling and context management.
• An interest in sport and the sports betting industry.

Why Consider This Opportunity?

This is an opportunity to take technical ownership of a major AI initiative from the outset, combining hands-on engineering with architectural leadership and direct exposure to the CTO.

You'll be working with modern technologies, solving complex, real-world AI engineering challenges and helping shape a long-term investment in AI, automation and intelligent platform development.