MCP AI Engineer
MCP AI Engineer
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Job Description
Job Description
AI/MCP Engineer
Location:UK (Hybrid London 1x per week)
Salary:% discretionary bonus share options
Contract Type:Permanent
Start Date:ASAP
About Us
Our partner is a fast-growing tech business on a mission to scale a team of 30 and has big ambitions. Theyre building out core infrastructure to support internal innovation and future AI-powered capabilities. The engineering team is split between the UK and international developers and are now looking to bring in a specialist to own and develop a critical new part of our stack.
About the Role
Were hiring anAI Engineer with MCP (Model Context Protocol) experienceto lead the development of anMCP serverthat will make data across the tech stack available foragentic AI consumption.
This is ablank canvasopportunity theres no legacy code or rigid process to navigate. We need someone confident enough to take ownership of a greenfield build while collaborating with our Lead Engineer and broader UK-based team.
Were looking for someone to join full-time to help spin up MCP in the first 6 months and iterate beyond that as the platform evolves.
What Youll Do
- Build and maintain a brand-new MCP (Model Context Protocol) from scratch
- Make tech stack data accessible to agentic AI systems
- Work alongside the Lead Engineer to integrate the platform into business operations
- Create robust control logic and performance optimization for AI processes
- Develop tools APIs and interfaces that streamline access and insights from the platform
- Continuously improve the platform post-MCP launch
Tech Environment
- Languages: Python occasional Java
- Tools:Bitbucket Git internal CI/CD tools
- Team:2 UK-based devs (plus overseas contributors)
- Office:London-based (1 day per week expected)
What Were Looking For
- Experience building or contributing to MCP build and agentic AI systems
- Strong software engineering background with experience in Python and API integration
- Comfortable working with real-time data system modelling and performance optimisation
- Proactive able to thrive in greenfield environments with little technical precedent
- Mid-level experience enough to be autonomous but eager to grow
- Collaborative and communicative youll report into the CEO or Lead Engineer directly
Interview Process
- Stage 1:Technical interview (includes practical task)
- Stage 2:Conversation with CTO and Lead Engineer
- Stage 3:Culture and values interview
What is Offered
- base salary (DOE)
- 10% discretionary bonus
- Share options
- Hybrid working with supportive high-growth environment
- The opportunity to shape a core AI capability from the ground up
Apply Now
If youre excited by agentic AI thrive on building from scratch and want to shape something that will scale across an ambitious tech business wed love to hear from you.
Employment Type
Full-Time
