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Tesco

# Generative AI Engineer (Product Intelligence)

Hybrid Full-time Operations 

Listed on Tesco’s official careers site. Posted September 24, 2026. Check that it is still open and apply there.
[Apply on Tesco’s careers site →](https://careers.tesco.com/en_GB/careersmarketplace/JobDetail/Generative-AI-Engineer-Product-Intelligence/204992)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tesco](https://jobs.opennash.com/companies/tesco/) / Generative AI Engineer (Product Intelligence)

## Job description

The Product Intelligence Platform is a generative AI-driven system that transforms how Tesco handles product data at scale. The platform leverages multi-agent generative AI systems to automate product categorisation, enrichment and matching across a vast number of products every week, processing over 1 million events weekly on an event-driven Kafka architecture. This role sits closest to our generative AI work: prompt engineering, LLM orchestration, embeddings, scoring and evaluation.

You will work alongside our Java/Spring Boot platform engineers but will spend most of your time in Python, on the services and pipelines that sit nearest to the models. A lot of this work starts as ambiguous, research-shaped problems — “is this even feasible?” — before becoming production services. You'll run feasibility studies and proofs of concept, then carry the strongest ideas through to production, working closely with product managers, data stewards and engineering peers along the way.

Leading generative AI feasibility studies and proofs of concept for new product intelligence capabilities (for example, image-based accuracy scoring or dynamic attribute handling), and turning promising results into production designs. Designing and building generative AI solutions that integrate large language models (Azure OpenAI GPT-4) through our GenAI Service facade, including prompt design, evaluation and iteration.

Building and maintaining embedding-based similarity and scoring pipelines using PostgreSQL with pgvector. Contributing to LLM observability and evaluation practices (e.g. with Langfuse), including regression testing and drift detection as prompts and models change. Supporting Human-in-the-Loop (HITL) tooling that helps data stewards review and validate generative AI output efficiently — 100% HITL review before publication is a core control on this platform.

Contributing to responsible Gen AI governance activities, including audit support and structured release criteria for prompt and model changes. Building event-driven services in Python for high-volume data processing on Kafka. Collaborating with product managers, data stewards and other engineers to translate ambiguous business problems into clear technical designs. Sharing generative AI knowledge with the wider team and contributing to upskilling.

Optionally representing the team's generative AI work externally, such as at conferences or in the tech community. Mandatory skills Solid, recent experience building production backend services in Python with a modern framework (FastAPI, Django, Flask or similar). Practical, hands-on experience with LLMs and prompt engineering in a production or near-production setting, not only experimentation. Experience with embeddings and vector similarity (pgvector or an equivalent vector database).

Good understanding of event-driven architectures and Apache Kafka. Comfort working on ambiguous, research-shaped problems — running feasibility studies or PoCs — and then carrying them through to a shipped solution. Experience with cloud platforms, preferably Azure. Understanding of software engineering best practices, including CI/CD, testing and code review.

### Strong stakeholder communication skills

able to navigate ambiguity and translate it into clear requirements and implementation plans. Nice-to-have skills Experience with LLM observability and evaluation tooling (Langfuse or similar). Experience working with multi-agent systems. Familiarity with Java/Spring Boot, since the wider platform is polyglot Java/Python. Experience with Kubernetes (Azure Kubernetes Service) for container orchestration. Experience with Infrastructure as Code (Terraform).

Knowledge of the retail or e-commerce domain. Understanding of data quality and governance principles. Experience mentoring or upskilling others in applied generative AI, or involvement in hiring. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work.

Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. Tesco is committed to celebrating diversity and everyone is welcome at Tesco. As a Disability Confident Employer, we’re committed to providing a fully inclusive and accessible recruitment process, allowing candidates the opportunity to thrive and inform us of any reasonable adjustments they may require.

Want to get to know us better? Watch our team talk about our culture – YouTube What our colleagues like the most at Tesco: We develop our own products We make an impact; large scale of operation Accountability and respect are given to us We cooperate and support each other There are great colleagues who are divided into small teams here We can develop and learn new things Discover how our colleagues shape Tesco’s tomorrow.

## At a glance
- Posted by the employer: Sep 24, 2026
- First seen by OpenNash: Oct 30, 2026
- Last checked: Oct 30, 2026
- Listed for: 36 days
- Work arrangement: Hybrid
- Employment type: Full-time[Apply on Tesco’s careers site →](https://careers.tesco.com/en_GB/careersmarketplace/JobDetail/Generative-AI-Engineer-Product-Intelligence/204992)

## Hiring at Tesco
- Open jobs: 2,883
- New in the last 7 days: After two weekly collections
- Tracked since: Oct 23, 2026

[All Tesco jobs](https://jobs.opennash.com/companies/tesco/) · [Weekly hiring report](/reports/hiring/)

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