Senior AI Engineer
Read straight from dunnhumby's careers page, verified 1d ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
LocationGurugram, Gurgaon
Work modehybrid
Typefull-time
SenioritySenior
Experience8+ yrs
DepartmentAccelerators
Company size1,001–5,000 people
PostedAug 10, 2026 · 2mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's/Master's in Computer Science, AI, Engineering, or related field
8+ years of software engineering experience
3+ years building production AI/ML applications
Strong grounding in distributed systems, cloud-native architecture, and microservices
Track record delivering enterprise-grade AI solutions from POC to production
Python (expert)
TypeScript/JavaScript
SQL
async programming
REST & gRPC
design patterns
LLMs
prompt engineering
embeddings
RAG
hybrid search
agentic AI (tool/function calling, MCP, A2A)
model training & fine-tuning (LoRA/QLoRA/PEFT)
hyperparameter optimization
GPU optimization
quantization
LangChain, LangGraph, Google ADK, OpenAI Agents SDK, CrewAI, AutoGen, LlamaIndex, Semantic Kernel, DSPy, Pydantic AI
Google Vertex AI, Azure AI Foundry, Azure OpenAI, Model Garden
PyTorch, TensorFlow, Hugging Face, MLflow, Kubeflow, model registry, experiment tracking, continuous training
LangSmith/Langfuse/Arize Phoenix, OpenTelemetry, Grafana, New Relic, agent evaluation, cost monitoring
Pinecone/Weaviate/Milvus/pgvector/Vertex AI Vector Search/Azure AI Search
Docker, Kubernetes, Terraform, ArgoCD, GitHub Actions/Azure DevOps, CI/CD, IaC
Temporal/Argo Workflows/event-driven architecture/message queues
Skills
Python
TypeScript
JavaScript
SQL
REST
gRPC
LLMs
LangChain
LangGraph
Google ADK
OpenAI Agents SDK
CrewAI
AutoGen
LlamaIndex
Semantic Kernel
DSPy
Pydantic AI
Google Vertex AI
Azure AI Foundry
Azure OpenAI
Model Garden
PyTorch
TensorFlow
Hugging Face
MLflow
Kubeflow
LangSmith
Langfuse
Arize Phoenix
OpenTelemetry
Grafana
New Relic
Pinecone
Weaviate
Milvus
pgvector
Vertex AI Vector Search
Azure AI Search
Docker
Kubernetes
Terraform
ArgoCD
GitHub Actions
Azure DevOps
Temporal
Argo Workflows
Benefits
Health insurance
Dental insurance
Vision insurance
Life insurance
Retirement plan
Provident fund
Employee assistance
Commuter benefits
Internet allowance
Work from home kit
Subsidised food
Wellness resources
Recognition program
Referral program
Flexible hours
Paid time off
Paid maternity leave
Paid paternity leave
Adoption leave
Birthday off
About dunnhumby
dunnhumby is the global leader in Customer Data Science, helping the world’s most ambitious retailers and brands put the customer at the heart of every decision. With nearly 3,000 experts across Europe, Asia, Africa and the Americas, we partner with iconic businesses like Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro to turn data into growth, innovation and measurable value for their customers.
Tech / Engineering
dunnhumby’s Technology and Engineering team builds the platforms, pipelines and systems that make customer data science possible at scale. From the data infrastructure that ingests billions of transactions to the APIs and cloud architecture that power our products, we engineer reliable, high-performance software trusted by the world’s leading retailers and brands.
About the role
We’re looking for a Senior AI Engineer 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.
What You’ll Do
•
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.
•
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.
•
Build enterprise-grade RAG pipelines— ingestion, chunking, embeddings, hybrid search, reranking, citations — and continuously evaluate retrieval quality.
•
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.
•
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.
•
Implement guardrails for hallucination, prompt injection, and PII; establish evaluation, monitoring, and responsible-AI compliance practices.
•
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.
•
Build responsive React-based interfaces for chat, copilots, prompt playgrounds, and agent/evaluation dashboards, integrated via REST, SSE, and WebSockets.
•
Write clean, tested code; drive architecture reviews, code reviews, and mentor engineers.
What You’ll Bring
•
Bachelor’s/Master’s in Computer Science, AI, Engineering, or related field.
•
8+ years of software engineering experience, including 3+ years building production AI/ML applications.
•
Strong grounding in distributed systems, cloud-native architecture, and microservices.
•
Track record delivering enterprise-grade AI solutions from POC to production.
Technical Skills
Programming: Python (expert), TypeScript/JavaScript, SQL, async programming, REST & gRPC, design patterns
AI/ML Concepts: LLMs, prompt engineering, embeddings, RAG, hybrid search, agentic AI (tool/function calling, MCP, A2A), model training & fine-tuning (LoRA/QLoRA/PEFT), hyperparameter optimization, GPU optimization, quantization
AI Frameworks: LangChain, LangGraph, Google ADK, OpenAI Agents SDK, CrewAI, AutoGen, LlamaIndex, Semantic Kernel, DSPy, Pydantic AI
Cloud AI Platforms: Google Vertex AI, Azure AI Foundry, Azure OpenAI, Model Garden
ML & MLOps: PyTorch, TensorFlow, Hugging Face, MLflow, Kubeflow, model registry, experiment tracking, continuous training
AgentOps & Observability: LangSmith/Langfuse/Arize Phoenix, OpenTelemetry, Grafana, New Relic, agent evaluation, cost monitoring
Vector Databases: Pinecone/Weaviate/Milvus/pgvector/Vertex AI Vector Search/Azure AI Search
Cloud & DevOps: Docker, Kubernetes, Terraform, ArgoCD, GitHub Actions/Azure DevOps, CI/CD, IaC
Workflow Orchestration: Temporal/Argo Workflows/event-driven architecture/message queues
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.
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 your recruiter know what adjustments would help.
India Benefits
•
Healthcare & Family Cover: Group Medical Insurance of INR 500,000 for employees and dependents, plus dental and vision cover up to INR 5,000.
•
Protection: Group Term Life Insurance and Group Personal Accident cover with benefit levels linked to employee grade, including disability benefits.
•
Retirement & Wellbeing: Provident Fund, Gratuity, National Pension Scheme access, Indian Health Organisation membership, and confidential employee assistance support.
•
Lifestyle & Flexibility: Office commute support, internet allowance of INR 2,000 per month for blended working, work-from-home kit support, subsidised food, and wellbeing resources.
•
Recognition & Extras: Long service awards, Talent Scout referral programme, and family milestone support.
•
Time Off & Family Leave: 25 days holiday plus 10 public holidays, paid maternity, paternity and adoption leave, and a day off for your birthday.
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.
Legal
For further information about how we collect and use your personal information please see our Privacy Notice which can be found(here)