Lead GenAI Engineer | GenAI | FinTech | Hybrid London | Up to 140k

3 days ago

London Area, United Kingdom Maze Full time

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.

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