Lead GenAI Engineer | GenAI

Maze; Greater London; Hybrid; GBP 119,000 - 140,000; Full time

Job summary

A high-growth fintech data intelligence scaleup is hiring a Lead GenAI Engineer to manage a small team while driving the architecture and delivery of GenAI products. The role requires strong hands-on experience in shipping GenAI systems into production and involves collaboration across product and engineering teams. This hybrid position allows you to balance leadership with hands-on technical work, focusing on developing cutting-edge AI features for user impact.

Qualifications

• Demonstrated line management experience leading small teams (2–5 engineers).
• Strong hands-on experience shipping real GenAI/LLM systems into production.
• Comfortable balancing leadership responsibilities with hands-on engineering early on.

Responsibilities

• Manage and grow a small team of AI Engineers.
• Lead architecture and development of LLM-powered applications.
• Work closely with product, backend, and frontend teams.

Skills

Line management experience

Hands-on experience shipping GenAI/LLM systems

Strong communication skills

Deep expertise in LLMs

Python

Job description

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 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., 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 that it has been unsuccessful.

If your skillset matched, please apply within.