AI Engineer

Fruition Group; Bolton; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A fast-growing FinTech company in the United Kingdom is seeking a pragmatic AI Engineer to design and implement secure AI infrastructures. As the founding AI Engineer, you will build crucial capabilities to bridge AI agents and payment systems, enhancing security and compliance. This hybrid role offers the unique opportunity to shape their AI strategy from the ground up, focusing on innovative API operations and operational security.

Qualifications

• Experience in building secure AI systems and infrastructure.
• Strong understanding of APIs and interaction security.

Responsibilities

• Design and build the company's MCP server framework.
• Create AI-accessible API operations with strict security.
• Implement authentication and auditability for AI interactions.

Job description

Job Description

AI Engineer

Manchester Based

Hybrid Role

We're seeking a pragmatic and highly skilled AI Engineer to join a fast-growing FinTech company as their first dedicated AI hire. This is a rare opportunity to build AI capability from the ground up in a business that processes payments for leading global brands.

This is an AI engineering role focused on creating the secure infrastructure that enables enterprise-grade AI agents to interact safely with production payment systems.

You'll be designing and implementing the company's Model Context Protocol (MCP) capability - essentially building the bridge between modern AI agents (ChatGPT, Claude, Cursor) and critical business operations, while maintaining the security, compliance and reliability standards expected of financial technology.

The Role

As the founding AI Engineer, you'll be responsible for:

• Designing and building the company's MCP server framework aligned to open standards
• Creating AI-accessible API operations (refunds, gateway configuration, etc.) with strict permissioning and security guardrails
• Implementing authentication, authorisation, logging, and full auditability for all AI agent interactions
• Building and operating the AI knowledge retrieval layer using vector databases
• Implementing hybrid semantic/lexical search capabilities
• Monitoring, testing, and opti...