About
At Currys we're united by one passion: to help everyone enjoy amazing technology. As the UK's best-known retailer of tech, we're proud of the service our customers receive – and it's all down to our team of 25,000 caring and committed colleagues. Working as one team, we learn and grow together, celebrating the big and small moments that make every day amazing.
Responsibilities
•Build AI solutions and agents that improve productivity and decision-making across the business
•Create and iterate on prototypes using modern LLM and agent frameworks
•Help take AI features into production, working with senior engineers to meet reliability and security needs
•Contribute to data preparation and feature engineering for AI use cases
•Write clean, well-tested code that follows Currys engineering standards
•Monitor AI solutions in production, tracking quality, performance and cost
•Troubleshoot issues and improve implementations based on feedback and metrics
•Document your work clearly so solutions can be supported and scaled by the wider team
•Learn continuously and bring new ideas, tools and techniques to the team
Requirements
•Strong engineering foundations with real experience delivering working solutions in a team
•Comfortable with Python and the ability to write code that others can understand and maintain
•Practical knowledge of APIs, services and development practices like version control, code reviews and testing
•Evidence you've already started building with AI - through personal projects, a starter role, or experimenting with tools like Codex or Cursor
•Understanding of basic ML and AI concepts like prompting, evaluation, embeddings and how models work
•Intellectual curiosity and problem-solving instincts that drive you to figure things out
•A genuine desire to learn fast and grow your skills in applied AI and agentic tooling
•The ability to work collaboratively in an agile environment with product teams and multiple stakeholders
•Engineering experience in software, data or ML with real-world delivery in a team setting
•Working proficiency in Python and writing production-quality code
•Familiarity with APIs, services and modern development practices like version control and testing
•Early evidence of AI or LLM work through personal projects, a starter AI role, or building tools using Codex, Cursor, OpenAI APIs or similar
•Degree in Computer Science, Engineering, AI/ML, or equivalent experience
Nice to have
•Exposure to Databricks, Azure AI services or similar cloud AI platforms beneficial
•Experience with agent frameworks, RAG patterns or orchestration tools beneficial
•Knowledge of data platforms like SQL or Spark and how AI integrates with them beneficial
Conditions
•25 days of annual leave (plus bank holiday entitlement) and a competitive pension scheme
•Life Assurance
•Fantastic colleague discounts on Tech with Currys and iD Mobile
•Hybrid working (with an expectation to meet in person twice a week)
•Ongoing training and development opportunities to grow your career
