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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 AI technology.
- Qualifications: Experience in leading small teams and shipping GenAI systems is essential.
- Other info: Great opportunity for career growth in a collaborative and innovative setting.
The predicted salary is between 84000 - 196000 £ 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
- Leadership & Team Development: 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.
- Technical Ownership: 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.
- Cross-Functional Collaboration: Work closely with backend, frontend, and product engineering teams to integrate GenAI capabilities.
Key Requirements
- 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.
- Comfortable balancing leadership responsibilities with hands-on engineering early on.
- Strong communication skills and ability to guide product–engineering discussions.
Nice to Haves
- 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 matches, please apply within.
Lead GenAI Engineer | GenAI | FinTech | Hybrid London | Up to £140k in Slough 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 Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech and AI space. Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your GenAI projects or contributions. Whether it's GitHub repos or a personal website, having tangible evidence of your expertise can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with LLMs and agentic frameworks. Practice common interview questions and think about how you can demonstrate your leadership skills.
✨Tip Number 4
Don’t forget to 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 proactive and engaged with our company.
We think you need these skills to ace Lead GenAI Engineer | GenAI | FinTech | Hybrid London | Up to £140k in Slough
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 relevant projects, don’t hold back! Include links or descriptions of your work with LLMs, agentic frameworks, or any other GenAI tools. We love seeing real-world applications of your skills!
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 our team at StudySmarter!
How to prepare for a job interview at Maze
✨Know Your GenAI Stuff
Make sure you brush up on your knowledge of Generative AI and LLMs. Be ready to discuss your hands-on experience with these technologies, especially any projects where you've shipped real systems into production. This will show that you’re not just a manager but also a technical expert.
✨Show Off Your Leadership Skills
Prepare examples of how you've successfully managed and developed small teams in the past. Highlight your player-coach approach and how you've mentored engineers while still being hands-on. This is crucial for demonstrating that you can balance leadership with technical responsibilities.
✨Collaboration is Key
Think about times when you've worked closely with cross-functional teams, like product and backend engineers. Be ready to share specific examples of how you integrated GenAI capabilities into products and how you navigated any challenges that arose during collaboration.
✨Ask Smart Questions
Prepare insightful questions about the company’s current GenAI projects and their future direction. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially regarding team development and engineering best practices.
