The Product Intelligence Platform is an AI-driven system that revolutionizes how Tesco handles product data at scale. The platform leverages multi-agent AI systems to automate product categorization, enrichment, and matching across a vast number of products on a weekly basis. Built on event-driven architecture using Kafka, the platform processes millions of events monthly through core AI capabilities.

A Senior Software Engineer in this team will be responsible for building and maintaining these AI-powered capabilities using Java/Spring Boot and Python, implementing scalable event-driven microservices on Azure Kubernetes Service, and working directly with LLMs to solve complex product intelligence challenges. The role requires someone who can bridge the gap between cutting-edge AI technology, engineering, and practical business applications, contributing to a platform that directly impacts millions of customer interactions weekly.

• Design and implement microservices for product intelligence capabilities.
• Utilize technologies including: Spring Boot, Python, Apache Kafka, PostgreSQL with PGVector for embeddings
• Develop and optimize multi-agent systems.
• Build event-driven architectures for high-volume data processing.
• Implement product matching algorithms using: Text similarity techniques, Image similarity techniques
• Ensure system scalability and reliability to process over 1 million events per week.
• Collaborate with product managers and data scientists to translate business requirements into technical solutions.
• Maintain infrastructure as code using Terraform on the Azure cloud platform.
• Participate in architectural decisions to expand the platform’s AI capabilities.
• Mentor junior team members and support engineering excellence standards.
• Integrate with various Tesco systems, including both internal and external platforms.