AI Engineer

Senior AI Engineer | Reading, Hybrid | £75,000 - £100,000 + bonus + exceptional benefits Build production-grade LLM and GenAI solutions inside one of the UK's fastest-growing enterpise AI teams. This is a hands-on engineering role with a multi-award-winning UK consultancy whose AI practice has scaled rapidly through strategic acquisition and a strong delivery pipeline across commercial, central government and defence clients. You'll be designing, building and shipping enterprise GenAI systems in Python. What you'll be doing o Designing and building production LLM and GenAI solutions in Python - from prototype through architecture to deployment. o Implementing advanced RAG pipelines - hybrid search, re-ranking, query rewriting, context compression, evaluation and grounding. o Working with vector stores such as Azure AI Search, Pinecone, Qdrant, Weaviate and Chroma, and tuning embedding models for enterprise data. o Building agentic systems using frameworks like LangGraph, Semantic Kernel, LangChain, LlamaIndex and AutoGen - tool use, function calling, multi-step reasoning and orchestration. o Integrating foundation models via Azure OpenAI, AWS Bedrock and open-weight model endpoints (Llama, Mistral, Claude, GPT family). o Applying prompt engineering, guardrails, evaluation and observability - using tooling such as LangSmith, Langfuse, Ragas, promptfoo and Azure AI Content Safety. o Productionising solutions with FastAPI, async Python, Pydantic, Docker and Kubernetes, deployed into Azure-native infrastructure. o Partnering with data engineers, solution architects and advisory consultants on end-to-end AI programmes. o Engaging directly with senior client stakeholders to shape solution direction.

o Proven Python engineering background - clean, tested, production-ready code. o Hands-on experience building and deploying LLM / GenAI solutions in production - not just POCs or notebooks. o Strong working knowledge of RAG patterns, agentic frameworks, vector databases and embedding models. o Familiarity with prompt engineering, LLM evaluation and guardrail design (hallucination mitigation, prompt injection defence, content safety). o Experience with cloud-native deployment - Azure preferred, with Docker, Kubernetes and CI/CD. o Solid grasp of LLMOps - versioning, tracing, monitoring, cost management and responsible AI. o Consultative, client-ready communication - comfortable translating ambiguous business problems into AI solutions.

o Join a fast-scaling AI practice backed by two strategic acquisitions and a packed pipeline of enterprise GenAI delivery. o Advisory-led, not body-shop - you shape the solution, not just implement someone else's design. o Work across commercial, central government and defence - genuinely interesting problems, not just marketing chatbots. o Top Employer award winner with an exceptional benefits package, strong development pathways, and a culture that consistently ranks among the best in UK tech consulting. o Real ownership, real impact, and a clear runway into senior technical leadership. In return you will get o Competitive compensation package with strong base salary and bonus opportunities o Generous and growing annual leave, including loyalty days and birthday leave (up to 29 days total) o Comprehensive health support, including private medical insurance and 24/7 wellbeing assistance o Family-first policies with enhanced maternity, adoption, and paternity leave o Flexible, trust-based working environment designed to support work-life balance o Ongoing investment in people through training, coaching, wellbeing support, and lifestyle perks This role is designed for an AI Engineer who wants to build real systems - at scale, with accountability - inside a consultancy that's genuinely shipping GenAI at the enterprise level.