AI Engineer

• →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

• 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

• 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

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. 

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.

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