Senior AI Engineer

<div class="content-intro"><p>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.&nbsp;</p> <p><span style="color: #242424;">dunnhumby</span><span style="color: #242424;"> employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, </span>Nestlé, Unilever<span style="color: #242424;">&nbsp;and Metro.</span></p> <p style="margin: 0in;">&nbsp;</p></div><p><span style="font-size: 10pt;">We're looking for a <strong>Senior AI Engineer</strong> to help build and scale dunnhumby's Enterprise AI Platform- designing, deploying, and operating production grade AI systems used across engineering teams. You'll work across the full AI lifecycle: model training and fine-tuning, agentic workflows, RAG, AI observability, and AI-powered user experiences, using the latest advancements in Generative AI.</span></p> <h2><span style="font-size: 10pt;"><strong>Key Responsibilities</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Build reusable, scalable AI services for prompt orchestration, model routing, embeddings, structured generation, and tool calling; develop configurable multi-provider AI runtimes and secure cloud-native microservices.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Design multi-agent and autonomous systems with reasoning, planning, memory, and tool execution; build graph-based, long-running workflows with human-in-the-loop checkpoints using MCP and A2A.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Build enterprise-grade RAG pipelines— ingestion, chunking, embeddings, hybrid search, reranking, citations — and continuously evaluate retrieval quality.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Train, fine tune (LoRA/QLoRA/PEFT), and evaluate ML/DL models; build training pipelines, run experimentation and hyperparameter optimization, and productionize models with data science partners.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Deploy, monitor, and continuously improve agents and models in production — experiment tracking, model registry, versioning/rollback, drift and cost monitoring, CI/CD, and canary/blue-green deployments.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Implement guardrails for hallucination, prompt injection, and PII; establish evaluation, monitoring, and responsible-AI compliance practices.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Build and deploy cloud-native AI services (Docker, Kubernetes, Terraform) on GCP and Azure with autoscaling, observability, and distributed tracing; own services from build through production support.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Build responsive React-based interfaces for chat, copilots, prompt playgrounds, and agent/evaluation dashboards, integrated via REST, SSE, and WebSockets.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Write clean, tested code; drive architecture reviews, code reviews, and mentor engineers.</span></li> </ul> <h2><span style="font-size: 10pt;"><strong>Required Qualifications</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Bachelor's/Master's in Computer Science, AI, Engineering, or related field.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">8+ years of software engineering experience, including 3+ years building production AI/ML applications.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Strong grounding in distributed systems, cloud-native architecture, and microservices.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Track record delivering enterprise-grade AI solutions from POC to production.</span></li> </ul> <h2><span style="font-size: 10pt;"><strong>Technical Skills</strong></span></h2> <p><span style="font-size: 10pt;"><strong>Programming: </strong>Python (expert), TypeScript/JavaScript, SQL, async programming, REST &amp; gRPC, design patterns<br></span><span style="font-size: 10pt;"><strong>AI/ML Concepts: </strong>LLMs, prompt engineering, embeddings, RAG, hybrid search, agentic AI (tool/function calling, MCP, A2A), model training &amp; fine-tuning (LoRA/QLoRA/PEFT), hyperparameter optimization, GPU optimization, quantization<br></span><span style="font-size: 10pt;"><strong>AI Frameworks: </strong>LangChain, LangGraph, Google ADK, OpenAI Agents SDK, CrewAI, AutoGen, LlamaIndex, Semantic Kernel, DSPy, Pydantic AI<br></span><span style="font-size: 10pt;"><strong>Cloud AI Platforms: </strong>Google Vertex AI, Azure AI Foundry, Azure OpenAI, Model Garden<br></span><span style="font-size: 10pt;"><strong>ML &amp; MLOps: </strong>PyTorch, TensorFlow, Hugging Face, MLflow, Kubeflow, model registry, experiment tracking, continuous training<br></span><span style="font-size: 10pt;"><strong>AgentOps &amp; Observability: </strong>LangSmith/Langfuse/Arize Phoenix, OpenTelemetry, Grafana, New Relic, agent evaluation, cost monitoring<br></span><span style="font-size: 10pt;"><strong>Vector Databases: </strong>Pinecone/Weaviate/Milvus/pgvector/Vertex AI Vector Search/Azure AI Search<br></span><span style="font-size: 10pt;"><strong>Cloud &amp; DevOps: </strong>Docker, Kubernetes, Terraform, ArgoCD, GitHub Actions/Azure DevOps, CI/CD, IaC<br></span><span style="font-size: 10pt;"><strong>Workflow Orchestration: </strong>Temporal/Argo Workflows/event-driven architecture/message queues</span></p><div class="content-conclusion"><p><strong>What you can expect from us</strong></p> <p>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.&nbsp; Plus, thoughtful perks, like flexible working hours and your birthday off.</p> <p>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.</p> <p>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.&nbsp; <span class="ui-provider ee aws awt awu awv aww awx awy awz axa axb axc axd axe axf axg axh axi axj axk axl axm axn axo axp axq axr axs axt axu axv axw axx axy axz">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.&nbsp;</span></p> <p><strong>Our approach to Flexible Working </strong></p> <p>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.</p> <p>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.</p> <p>For further information about how we collect and use your personal information please see our Privacy Notice which can be found <strong><span lang="EN-GB"><u><a href="https://www.dunnhumby.com/recruitment-privacy-notice/" target="_blank">(here)</a></u></span></strong></p></div>