AI Data Engineer

Job description

## **About EDITED** EDITED is the world’s leading AI-driven retail intelligence platform. We empower the world’s most successful brands and retailers with real-time decision making power. By connecting internal business and external market data, EDITED infuses intelligence into *every* retail decision. We help retailers increase margins, generate more sales, and drive better business outcomes through AI-powered market and enterprise intelligence that fuels automation. At EDITED, we foster a dynamic and inclusive culture where creativity thrives and collaboration is at the heart of everything we do. Our environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow. We value diversity, transparency, and a shared commitment to excellence, creating a workplace where everyone's voice is heard and contributions are recognised. We believe that achieving a positive work-life balance is key to driving innovation and success. Our flexible working options—including hybrid working, flexible hours and a work from anywhere policy—empower our team to perform at their best. Job Overview As our AI Data Engineer, you will run and improve the AI agents behind our data ingestion platform. You are the human in the loop. At EDITED, you'll be part of our Product and Data team, working closely with our operations and QA leads, other software developers, retail specialists and designers to create data-driven solutions to our customers' problems. We've got huge scope to innovate and we always welcome fresh perspectives. You'll be able to make a big impact, and learn a huge amount during your time at EDITED. We bring in the best candidates to meet our existing team and get to know them before making a hiring decision together. Responsibilities \* Run and improve the AI agents behind our data ingestion platform \* Act as the human in the loop, ensuring AI systems produce correct output \* Evaluate AI output using golden datasets, regression tests, precision and recall \* Read and analyze code produced by agents and retailer websites \* Judge AI-generated scrapers and data extraction processes \* Collaborate with operations and QA leads, software developers, retail specialists and designers \* Explain technical concepts to non-technical people, including clients Requirements and Qualifications Essential: \* Degree in Computer Science, Information Systems or Mathematics, or experience in a software development, data engineering, data QA or software test role \* Quantitative mindset with a love of detailed problem solving \* Healthy skepticism towards anything an AI tells you \* Agile mindset, with a passion for collaboration, innovation, and continuous learning \* Preference for making AI systems produce correct output rather than writing everything by hand Desirable: \* Proficiency in Python \* Background in backend or frontend development \* Hands-on use of LLM tools for real work, and opinions about where they fail \* Experience writing prompts or tool definitions for LLM-based systems, or exposure to agent frameworks \* Understanding of how to evaluate AI output: golden datasets, regression tests, precision and recall \* Web scraping experience (Scrapy, Playwright, Selenium or similar) \* Data QA or web application testing experience \* Linux and the command line, Git, Agile/Kanban \* Ability to explain technical concepts to non-technical people, including clients What We Offer \* Flexible working policy — start and finish when it suits you best, perfect for working parents \* Flexibility and understanding for big life events like the first day of school or school sports day \* Additional health insurance \* Free drinks in the office \* MultiSport card \* Gaming and relax areas \* Corporate discounts \* Employee referral program \* 25 days annual leave + public holidays, and an extra day for every year at EDITED We do not use AI to source, screen, evaluate, or make decisions about candidates - every hiring decision is made by our team. We use Ashby, our applicant tracking system, which includes AI-assisted interview notetaking and automation for scheduling interviews and sending routine emails. These tools support our hiring process but do not make hiring decisions. We aim to be an equal opportunities employer and we are determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.