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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 with line management and team development. You will mentor a , 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 (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.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.