dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.

dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.

Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21^st century human experience – then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter & Gamble and PepsiCo.

We are looking for a hands-on AI Engineer to build production-grade AI systems powered by LLMs and agents. This role goes beyond prototypes, you’ll design reliable, observable, and safe AI applications at scale.

Key Responsibilities

Design and develop LLM-powered applications and AI agents for real-world use cases
Build and orchestrate agent workflows using LangChain and LangGraph
Implement human-in-the-loop (HITL) systems for controlled AI decision-making
Design and optimize RAG pipelines
Advanced retrieval strategies (hybrid search, re-ranking, filtering)
Effective chunking strategies (semantic chunking, hierarchical chunking, context-aware splitting)
Integrate and work with MCP (Model Context Protocol) servers for tool and context orchestration
Integrate with Vertex AI and/or Azure AI Foundry for model deployment and lifecycle management
Implement guardrails (prompt injection defense, output validation, policy enforcement)
Build evaluation frameworks for model quality, hallucination detection, and regression testing
Ensure observability (traces, metrics, logs) for LLM applications in production
Collaborate with platform, data, and product teams to deliver end-to-end solutions

Required Skills

3–5 years of experience in AI/ML or backend engineering
Strong programming skills in Python
Hands-on experience with LLMs, NLP, and AI agents
Strong experience with LangChain and LangGraph
Experience implementing human-in-the-loop workflows
Solid understanding of RAG systems, including retrieval and chunking strategies
Experience working with or understanding MCP servers / tool orchestration frameworks
Strong understanding of evaluation frameworks (LLM evals, prompt testing, benchmarking)
Experience designing and implementing AI guardrails and safety mechanisms
Proficiency in cloud platforms (GCP or Azure)
Experience with Vertex AI and/or Azure AI Foundry is required
Experience with APIs, microservices, and scalable system design

Good to Have

Experience with vector databases (Pinecone, Weaviate, FAISS, etc.)
Familiarity with observability tools for AI systems (tracing, token usage, latency tracking)
Experience with Kubernetes / containerized deployments
Exposure to event-driven systems (Kafka, Pub/Sub, etc.)
Knowledge of multi-agent architectures and planning/reasoning patterns

What you can expect from us

We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.

You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.

And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.

Our approach to Flexible Working

At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.

For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

AI Engineer

TLDR

Benefits