AI Engineer
Role details
Job location
Tech stack
Job description
with product managers to understand business needs and deliver practical AI solutions that work in the real world. Your work will span multiple business areas - from colleagues in stores and contact centres to teams in trading, supply chain and operations. You'll join a community of engineers who share ideas, raise standards and support each other, helping you move from prototype to production with confidence.Role overview: All the amazing things you'll doBuild 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
Requirements
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.All the things you'll bringStrong 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.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.The essentialsEngineering 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.Join our team and we'll be with you every step of the way, helping you develop the career you want with new opportunities, on-going training and skills for life.Not only can you shape
Benefits & conditions
Job Description AI Engineer London, in-person 5 days per week. Competitive Salary between £150,000 and £160,000 base plus benefits. This is an opportunity to join a high-growth AI scale-up where you will build and deploy production-grade models that sit at the core of...