Software Engineer - Backend (Product Intelligence)

The Product Intelligence Platform at Tesco is an AI-driven system that automates product categorization, enrichment, and matching across a large product catalog using multi-agent AI systems. The platform processes millions of events monthly on Azure Kubernetes Service, leveraging event-driven architecture with Kafka and core AI capabilities. The team focuses on building scalable event-driven microservices and integrating AI technologies to improve product data handling at scale.

• Solid experience with Java and Spring Boot for building enterprise-grade applications.
• Basic knowledge of Python.
• Good understanding of event-driven architectures and Apache Kafka.
• Experience with cloud platforms, preferably Azure.
• Familiarity with Kubernetes for container orchestration.
• Working knowledge of databases, including PostgreSQL and NoSQL solutions.
• Experience with RESTful API design and microservices architecture.
• Understanding of software engineering best practices, including CI/CD, testing, and code review.
• Comfort working with distributed systems.

Nice-to-Have:

• Experience with Large Language Models (LLMs) and prompt engineering.
• Knowledge of vector databases and embedding technologies like PGVector.
• Familiarity with machine learning frameworks and computer vision.
• Experience with Infrastructure as Code (IaC) using Terraform.
• Knowledge of the retail or e-commerce domain.
• Experience with Couchbase or similar NoSQL databases.
• Understanding of data quality and governance principles.
• Previous experience building AI-powered applications.
• Experience working with multi-agent systems.

• Developing and implementing microservices for product intelligence capabilities.
• Working with technologies including Spring Boot, Python, Apache Kafka, and PostgreSQL with PGVector for embeddings.
• Contributing to the development of multi-agent AI systems.
• Building event-driven services for high-volume data processing.
• Implementing product matching logic using text and image similarity techniques.
• Ensuring system scalability and reliability to process over 1 million events per week.
• Collaborating with product managers and data scientists to translate business requirements into technical solutions.
• Contributing to infrastructure as code using Terraform on the Azure cloud platform.
• Participating in architectural discussions as the platform's AI capabilities evolve.
• Sharing knowledge with teammates and upholding engineering excellence standards.
• Integrating with various Tesco internal and external systems.

This role requires the candidate to be based in or near Kraków, Poland, as 60% of the workweek is spent collaborating onsite at office locations or local sites, with the remainder remote.