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Lead GenAI Engineer | GenAI | FinTech | Hybrid

Job in London, Greater London, EC1A, England, UK
Listing for: Maze
Full Time, Part Time position
Listed on 2026-01-16
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 140000 GBP Yearly GBP 140000.00 YEAR
Job Description & How to Apply Below
Position: Lead GenAI Engineer | GenAI | FinTech | Hybrid  | Up to ÂŁ140k

Lead GenAI Engineer - Generative AI

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Hybrid London (1–2 days/week onsite)

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Up to ÂŁ140k + 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 kwenda 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., Lang Chain, Lang Graph)
  • 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 that it has been unsuccessful.

If your skillset matched, please apply within.

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