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 servicesDesign RAG pipelines, agentic AI systems, and end-user automation toolsTake projects from prototype to productionWork closely with clients and cross-functional delivery teamsLead junior engineers within project podsKey Details

Working model : Hybrid (3 days/week in central London)Tech stack : Python, Docker, AWS (Lambda, Step Functions, Bedrock), CI/CD, LLM APIsAre 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 skillsExperience with production systems and APIsFamiliarity with LLM tools and deploymentExperience leading teams or deliverySeniority level

Mid-Senior levelEmployment type

Full-time

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