dunnhumby

Tech / AI / Software

SeniorAIEngineer

gurugram, haryana, india
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior AI Engineer at dunnhumby. Skills: AI, LLMs, agentic frameworks, cloud AI services, Python. Implement observability for AI systems: instrument prompts, model calls, tools and agents with tracing, metrics and build and maintain dashboards and alerts. Help define and run AI testing and evaluation strategies, including automated tests, offline and online evaluation, red‑teaming, regression suites and human‑in‑the‑loop review flows”

What You'll Achieve.

help our clients grow, innovate, and deliver measurable value for their customers

Industry & Context.

Tech / AI / Software
Problems you'll solve

problem‑solving skills; a willingness to take ownership of complex technical challenges

What They're Looking For.

Must Have

high-quality, well-tested code in Python (and, where relevant, TypeScript/Java or similar) following team standards for readability, performance and reliability, Ability to design and run evaluation and experimentation for AI features, including quantitative and qualitative measures and, where appropriate, human‑in‑the‑loop review, problem‑solving skills, attention to detail, a willingness to take ownership of complex technical challenges, Clear, proactive communication, the ability to collaborate effectively with product managers, data scientists, engineers and commercial stakeholders across locations

Nice to Have

familiarity with microservices and event‑driven architectures is a plus, LLMs, agentic frameworks, cloud AI services

What You'll Do.

Implement observability for AI systems: instrument prompts

tools and agents with tracing

metrics and build and maintain dashboards and alerts

Help define and run AI testing and evaluation strategies

including automated tests

offline and online evaluation

regression suites and human‑in‑the‑loop review flows

Collaborate with Retail Media and Insight teams to understand use cases and data

and translate requirements into concrete AI components and services

well‑tested code in Python (and

TypeScript/Java or similar) following team standards for readability

performance and reliability

Participate in code reviews

design reviews and incident post‑mortems

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

Ability to design and run evaluation and experimentation for AI features

including quantitative and qualitative measures and

human‑in‑the‑loop review

How You'll Work.

Team & Collaboration

Collaborate with Retail Media and Insight teams; Participate in code reviews, design reviews and incident post‑mortems; collaborate effectively with product managers, data scientists, engineers and commercial stakeholders across locations

Communication Scope

Clear, proactive communication; ability to collaborate effectively with product managers, data scientists, engineers and commercial stakeholders across locations

Full Job Description

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. Tesco Media 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, red‑teaming, regression suites and human‑in‑the‑loop 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 high‑quality, well‑tested 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 post‑mortems, 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 familiarity with microservices and event‑driven architectures is a plus. Ability to design and run evaluation and experimentation for AI features, including quantitative and qualitative measures and, where appropriate, human‑in‑the‑loop review. Strong problem‑solving skills, attention to detail, and a willingness to take ownership of complex technical challenges. Clear, proactive communication and the ability to collaborate

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