Overview

A fast-growing GenAI consultancy is building real-world AI applications for clients across finance, media, energy, and more. With over 50 people and aggressive growth plans, they specialise in deploying LLM-powered tools that solve complex, real-world problems-fast. Projects span agentic systems, retrieval-augmented generation (RAG), edge ML, and full-stack automation.

This role is ideal for a senior software engineer with strong Python skills and a deep interest in AI. You don't need to be an ML researcher—but you should know how to ship production systems, design APIs, and lead delivery. You'll join a high-performing technical team and work on projects that go live, not just into slide decks.

Key Responsibilities

• Build and deploy LLM-driven applications and backend services
• Design RAG pipelines, agentic AI systems, and end-user automation tools
• Take projects from prototype to production
• Work closely with clients and cross-functional delivery teams
• Lead junior engineers within project pods

Key Details

• Working model: Hybrid (3 days/week in central London)
• Tech stack: Python, Docker, AWS (Lambda, Step Functions, Bedrock), CI/CD, LLM APIs

Are you a strong software engineer with LLM expertise? Have you built production-grade systems and want to apply them to GenAI? Ready to own the build and deployment of AI-powered tools—not just prototypes?

Qualifications

• Strong Python skills
• Experience with production systems and APIs
• Familiarity with LLM tools and deployment
• Experience leading teams or delivery

Seniority level

• Mid-Senior level

Employment type

• Full-time