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 and high-ownership culture.
- Benefits: Competitive salary up to £115k, hybrid work, and bonus opportunities.
- Other info: Great opportunity for career growth in a rapidly evolving field.
- Why this job: Join a small team and make a real impact on cutting-edge AI products.
- Qualifications: Strong Python skills and experience with GenAI or LLMs required.
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 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 rapidly evolving field. This is not just a job; it's a chance to make a significant impact in a market-leading lending platform while working alongside talented professionals who share your passion for AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨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 AI projects, especially those that demonstrate your ability to take products from POC to production. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python fundamentals and AI concepts. Practice coding challenges and system design questions that are relevant to the role. We want you to feel confident when it’s time to shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our fast-moving AI team. Don’t miss out!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Engineer role. Highlight your Python engineering fundamentals and any hands-on experience with GenAI or LLMs. We want to see how you can bridge the gap between data science and production-grade systems!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how you’ve taken projects from POC to production. Let us know why you’re excited about joining our fast-moving team and what you can bring to the table.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's a chatbot or an internal AI tool, we love seeing real-world applications of your skills. This helps us understand your hands-on experience and product mindset!
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 don’t miss out on any important updates. Plus, it shows you’re keen on 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 heavily relies on Python, be prepared to demonstrate your coding skills. You might be asked to solve problems or even write some code during the interview. Practise common algorithms and data structures in Python to show you're up to the task.
✨Talk About Ownership
This position is all about taking ownership of projects. Be ready to share examples from your past experiences where you led a project from concept to deployment. Highlight how you handled challenges and what impact your work had on the team or product.
✨Collaborate Like a Pro
Since you'll be working closely with data scientists and platform engineers, demonstrate your collaborative skills. Prepare to discuss how you've worked in cross-functional teams before and how you handle feedback and differing opinions. Teamwork is key in this fast-moving environment!
