At a Glance
- Tasks: Build and ship innovative GenAI applications from scratch in a dynamic fintech environment.
- Company: Fast-moving fintech company with a collaborative, high-ownership culture.
- Benefits: Competitive salary up to £115k, hybrid work, and bonus opportunities.
- Other info: Exciting career growth in a greenfield project environment.
- Why this job: Join a small team and make a real impact on cutting-edge AI products.
- Qualifications: Strong Python skills and hands-on experience with GenAI technologies.
The predicted salary is between 115000 - 115000 € per year.
A high-impact AI Engineer hire inside a fintech business building production-grade AI products from the ground up. This is a rare opportunity to join a small, fast-moving AI team with real ownership over greenfield products — shipping GenAI applications that directly influence how a market-leading lending platform operates.
The Opportunity
Join a cross-functional AI and Machine Learning team operating like a startup within an established, publicly listed fintech business. Projects are 80–90% greenfield. You'll bridge the gap between data science POCs and production-grade systems, owning AI products from experimentation through to live deployment. This is a role for engineers who want to build, ship and own — not just advise.
About the Role
- You'll be building and shipping GenAI applications end-to-end into production.
- Own how AI systems integrate with existing product infrastructure.
- Handle real-world failure states and production engineering decisions.
- Collaborate closely with data scientists, platform engineers and PMs.
- Contribute to best practices for AI product development across the business.
- Mentor teammates and stay current in a fast-moving space.
- You'll work exclusively in Python with FastAPI. Strong software engineering fundamentals matter here as much as AI experience.
What You'll Be Working On
- Website chatbot and conversational AI products.
- Internal AI tooling and automation.
- Document processing pipelines.
- RAG pipelines, LLM integrations and agent frameworks.
- Taking POCs to production-grade systems at scale.
Skills and Experience
- Strong Python engineering fundamentals — this is an engineering role first.
- Hands-on experience with GenAI, LLMs, RAG or agent frameworks.
- Product mindset with comfort owning end-to-end delivery.
- Actively using AI tools in your own workflow (Claude, Copilot etc.).
- Fast-learning and motivated to move with a rapidly evolving space.
Nice to have:
- Full-stack experience (JavaScript/TypeScript).
- Experience taking AI products from POC to production commercially.
Location: London – Hybrid (min. 2 days/week)
Compensation: Up to £115k + bonus
Team: Small, collaborative, fast-moving — high ownership culture.
Stage: Greenfield AI products inside an established, scaled business.
We're hiring for both Mid and Senior levels — if you're genuinely building in AI and want real ownership over products that matter, this is worth a conversation.
AI Engineer in City of London employer: Wave Talent
Join a dynamic fintech company in London as an AI Engineer, where you'll have the unique opportunity to work on greenfield projects and take ownership of innovative AI products. With a collaborative and fast-moving team culture, you'll benefit from a hybrid work model, competitive compensation, and ample opportunities for professional growth in a high-impact environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech and AI space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python and FastAPI. We want to see your hands-on experience, so make sure to highlight any greenfield projects you've worked on.
✨Tip Number 3
Prepare for technical interviews by brushing up on your software engineering fundamentals. We’re talking about algorithms, data structures, and system design. Practice coding challenges to keep your skills sharp!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineer in City of London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! We want to see how you've engaged with AI tools and projects in your own time. Share specific examples of what excites you about building GenAI applications.
Highlight Your Engineering Skills:Since this is an engineering role first, make sure to emphasise your strong Python fundamentals. We’re looking for hands-on experience, so don’t hold back on showcasing your technical prowess and any relevant projects you've worked on.
Tailor Your Application:Take the time to customise your application for this role. Mention how your experience aligns with our greenfield projects and your comfort with end-to-end delivery. We love seeing candidates who understand our mission and can articulate how they fit into it!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Wave Talent
✨Know Your AI Stuff
Make sure you brush up on your knowledge of GenAI, LLMs, and RAG frameworks. Be ready to discuss how you've used these technologies in your projects. The interviewers will want to see that you can bridge the gap between theory and practical application.
✨Show Off Your Python Skills
Since this role is heavily focused on Python, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or walk through your thought process on a past project. Practice coding challenges beforehand to keep your skills sharp!
✨Emphasise Ownership and Collaboration
This position is all about taking ownership of projects. Share examples from your past where you led a project from concept to deployment. Also, highlight your experience working with cross-functional teams, as collaboration is key in this fast-moving environment.
✨Stay Current and Curious
The AI field is evolving rapidly, so show your enthusiasm for learning. Mention any recent tools or trends you've been exploring, like Claude or Copilot. This will demonstrate your motivation to stay ahead in the game and adapt to new challenges.
