Lead GenAI Engineer - Generative AI
💼 Hybrid London (1–2 days/week onsite)
💰 Up to £140k + Equity + Benefits
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 do not provide visa sponsorship and require 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.