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- Tasks: Design and build AI infrastructure for secure payment systems in a fast-growing FinTech.
- Company: Join a dynamic FinTech company as their first dedicated AI Engineer.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Be part of a pioneering team with excellent career advancement potential.
- Why this job: Shape the future of AI in finance and make a real impact from day one.
- Qualifications: Experience in backend engineering and hands-on with AI systems like OpenAI.
The predicted salary is between 36000 - 60000 £ per year.
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 optimising performance, reliability, and failure modes
- Establishing standards and patterns for future embedded AI capabilities
- Shaping the company's AI strategy from an infrastructure and tooling perspective
- Building internal AI capability and maintaining technical documentation
- Working cross-functionally to integrate AI in ways that enhance developer productivity and internal operations
Essential Experience
- Backend engineering background with production-level experience designing and operating APIs and platform services
- Hands-on LLM integration - practical experience working with OpenAI, Claude, Cursor, Gemini, or similar agent-based AI systems
- Experience with vector databases and modern search technologies
AI Engineer in Warrington employer: Fruition Group
Contact Detail:
Fruition Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Warrington
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech and AI space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI and backend engineering. Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common AI engineering interview questions and practice your answers. Be ready to discuss your experience with APIs, LLM integration, and vector databases. Confidence is key, so rehearse until you feel like a rockstar!
✨Tip Number 4
Apply through our website! We’ve got some fantastic opportunities waiting for you. Tailor your application to highlight your relevant experience and show us why you’re the perfect fit for the role. Let’s get you that dream job!
We think you need these skills to ace AI Engineer in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your backend engineering experience and any hands-on work with LLMs like OpenAI or Claude. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and FinTech, and explain why you’re excited about building AI capabilities from the ground up with us. Keep it engaging and personal.
Showcase Relevant Projects: If you've worked on projects involving APIs, vector databases, or AI systems, make sure to showcase them. We love seeing practical examples of your work that demonstrate your skills and creativity.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Fruition Group
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially those mentioned in the job description like OpenAI and vector databases. Be ready to discuss your hands-on experience with these systems and how you've integrated them in past projects.
✨Showcase Your Backend Skills
Since this role requires a strong backend engineering background, prepare to talk about your experience designing and operating APIs. Have specific examples ready that demonstrate your ability to create secure and efficient API operations.
✨Understand Security Standards
Given the focus on security and compliance in FinTech, be prepared to discuss how you've implemented authentication, authorisation, and logging in previous roles. Highlight any experience you have with maintaining security guardrails in AI interactions.
✨Think Cross-Functionally
This role involves working across teams, so think about how you've collaborated with others in the past. Be ready to share examples of how you've integrated AI into different business operations and enhanced productivity through teamwork.