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- Tasks: Lead a team to develop innovative GenAI products in a dynamic fintech environment.
- Company: Join a high-growth fintech scaleup with a focus on AI and data intelligence.
- Benefits: Enjoy a competitive salary, equity options, and flexible hybrid working.
- Why this job: Make a real impact by mentoring engineers and shaping the future of GenAI.
- Qualifications: Experience in leading small teams and hands-on GenAI/LLM development.
- Other info: Great opportunity for career growth in a collaborative and innovative culture.
The predicted salary is between 100800 - 140000 £ per year.
We’re hiring a Lead GenAI Engineer within a high-growth fintech/data intelligence scaleup. This is a hybrid role that combines hands-on technical expertise with line management and team development. You will mentor a young, high-performing engineering group while driving the architecture, delivery, and evolution of our GenAI-powered products.
You’ll join a highly talented AI organisation (reporting into the Senior ML Manager) and work closely with product, backend, and frontend teams to ship impactful, user-facing AI features.
Key Responsibilities- Manage and grow a small team of AI Engineers (starting with 2–3, scaling to ~5).
- Act as a player–coach, remaining hands-on while mentoring, unblocking, and developing engineers.
- Establish engineering best practices, delivery processes, and a high-performance team culture.
- Lead architecture and development of LLM-powered and agentic applications, including RAG systems, chat/workflow agents, and domain-specific AI services.
- Drive technical direction with sound judgement and pragmatic decision-making.
- Build and deploy production-grade GenAI systems end to end: prototyping → integration → deployment → monitoring.
- Write and review high-quality Python code; ensure engineering standards are upheld across the team.
- Work closely with backend, frontend, and product engineering teams to integrate GenAI capabilities.
- Demonstrated line management experience leading small teams (2–5 engineers).
- Strong hands-on experience shipping real GenAI/LLM systems into production.
- Deep expertise in:
- LLMs & transformer-based models
- Agentic frameworks (e.g., LangChain, LangGraph)
- Retrieval-Augmented Generation (RAG)
- Python
- Building or integrating LLMs into products or workflows
- Working with GenAI frameworks and tooling
- Designing or optimising prompt pipelines
- Deploying or supporting GenAI features in production
- Experience building agentic workflows, multi-agent systems, or autonomous LLM tools.
- Fintech domain exposure (not essential).
This position does not provide visa sponsorship and requires existing right to work in the UK.
Please note: Due to the high volume of applications we are not always able to respond to all applicants; if you have not had a response within 7 days of your application it is likely it has been unsuccessful. If your skillset matched, please apply within.
Lead GenAI Engineer | GenAI | FinTech | Hybrid London | Up to £140k in City of London employer: Maze
Contact Detail:
Maze Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead GenAI Engineer | GenAI | FinTech | Hybrid London | Up to £140k in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and AI space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational chats. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your GenAI projects. This is your chance to demonstrate your hands-on experience with LLMs and agentic frameworks. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past experiences leading teams and delivering GenAI products. Practice common interview questions and think about how you can highlight your leadership style.
✨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. So, hit that apply button and let’s get you in for a chat!
We think you need these skills to ace Lead GenAI Engineer | GenAI | FinTech | Hybrid London | Up to £140k in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead GenAI Engineer role. Highlight your hands-on experience with GenAI systems and any leadership roles you've had. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about generative AI and how your background makes you a perfect fit for our fintech environment. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. Whether it's building LLMs or deploying GenAI features, we love to see real-world examples of your work and how you’ve tackled challenges.
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 the role. Plus, it shows us you’re keen to join the StudySmarter family!
How to prepare for a job interview at Maze
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest GenAI technologies, especially LLMs and agentic frameworks. Brush up on your Python skills and be ready to discuss how you've implemented these systems in production.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully managed and developed small teams. Highlight your experience as a player-coach and how you’ve fostered a high-performance culture in previous roles.
✨Collaborate Like a Pro
Be ready to discuss how you’ve worked cross-functionally with product, backend, and frontend teams. Share specific instances where your collaboration led to successful AI feature launches.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s GenAI strategy and team dynamics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
