Senior AI Software Engineer

Dunnhumby; Gurugram District; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Flexible working hours

Birthday off

Investment in cutting-edge technology

Job summary

Dunnhumby is looking for a Senior AI Engineer to design and implement GenAI and agentic AI solutions that enhance Tesco Media & Insight Platforms. This role requires a hands-on expert to build scalable, secure AI systems making an impact for brands and shoppers.

The ideal candidate will have strong AI/ML engineering experience, proficiency in GCP and Vertex AI, and exceptional Python programming skills. As part of a dynamic team, you'll face complex challenges while contributing to innovative solutions.

Qualifications

• Strong experience in software/data/ML engineering with AI/ML production solutions.
• Practical experience on GCP and Vertex AI, deploying models and building pipelines.
• Hands-on experience building agentic workflows or AI agents.

Responsibilities

• Design and implement GenAI and agentic AI solutions on GCP.
• Build AI agents and multistep agentic workflows.
• Implement security, privacy, and governance controls in AI solutions.

Skills

AI/ML engineering

GCP and Vertex AI

Python programming

DevOps/MLOps practices

Security for AI systems

Problem-solving skills

Clear communication

Job description

Roles and Responsibilities

As a Senior AI Engineer, you will be a handson technical contributor designing, building and operating productiongrade GenAI and agentic AI solutions that power Tesco Media & Insight Platforms global products and services. You will work closely with the AI Lead Engineer, Product, Data Science and Engineering teams to turn business problems into secure, scalable, observable AI systems that deliver measurable value for brands and shoppers.

• Design and implement GenAI and agentic AI solutions on GCP, leveraging Vertex AI (models, endpoints, pipelines, vector search/RAG, Agent Builder) and core GCP services.
• Build AI agents and multistep agentic workflows, including tool calling, orchestration, and integrations with internal and external systems.
• Contribute to the design of MCP servers and agenttoagent / agenttoapplication protocols to enable safe, reliable automation of retail media and insight use cases.
• Work with the AI Engineering Manager and architects to define solution designs, interface contracts and nonfunctional requirements (security, reliability, performance, cost).
• Implement security, privacy and governance controls in AI solutions, including safe prompt and tool design, data protection, secrets management and access control.
• Apply DevOps/MLOps practices: contribute to CI/CD pipelines for models, prompts and agents; use infrastructure as code; support environment management and automated testing.
• Implement observability for AI systems: instrument prompts, model calls, tools and agents with tracing, metrics and logs; build and maintain dashboards and alerts.
• Help define and run AI testing and evaluation strategies, including automated tests, offline and online evaluation, redteaming, regression suites and humanintheloop review flows.
• Collaborate with Retail Media and Insight teams to understand use cases and data, and translate requirements into concrete AI components and services.
• Write highquality, welltested code in Python (and, where relevant, TypeScript/Java or similar) following team standards for readability, performance and reliability.
• Participate in code reviews, design reviews and incident postmortems, and contribute to continuous improvement of our AI engineering practices.
• Stay current on advances in LLMs, agentic frameworks and cloud AI services, and bring forward ideas for how they can be applied to Tesco Media & Insight Platform.

What youll need to succeed in the role

• Strong experience in software/data/ML engineering, with handson delivery of AI/ML or LLMbased solutions into production (not just prototypes).
• Practical experience on GCP and Vertex AI, including deploying models, building pipelines, and implementing RAG/vector searchbased solutions.
• Solid understanding of LLMs and foundation models: transformers at a high level, tokenization, embeddings, context windows, RAG, and the tradeoffs between finetuning, adapters and promptbased approaches.
• Handson experience building agentic workflows or AI agents (e.g. toolaugmented chat, multistep workflows, or multiagent systems) using one or more modern frameworks or platforms.
• Good grasp of security and safety for AI systems, including prompt and tool design to reduce hallucinations and prompt injection, safe handling of sensitive data, and applicationlevel guardrails.
• Experience with DevOps/MLOps practices: CI/CD, version control, automated testing, infrastructure as code, monitoring and incident handling in a cloud environment.
• Strong programming skills in Python and experience building and consuming APIs; familiarity with microservices and eventdriven architectures is a plus.
• Ability to design and run evaluation and experimentation for AI features, including quantitative and qualitative measures and, where appropriate, humanintheloop review.
• Strong problemsolving skills, attention to detail, and a willingness to take ownership of complex technical challenges.
• Clear, proactive communication and the ability to collaborate effectively with product managers, data scientists, engineers and commercial stakeholders across locations.

What you can expect from us

We wont just meet your expectations. Well 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.