Backend Engineer

We value our team and to attract exceptional people, we offer an excellent package! This year, we were recognised as one of the top companies to work for in the UK.

• You can utilise our flexible working policy to ensure you can work around your schedule - this means starting & finishing when it suits you best!
• At EDITED we are set up to work remotely and utilise a hybrid approach within our London office
• Enhanced parental leave policy
• 25 days annual leave + public holidays (and an extra day for every year at EDITED)
• Simply Health Cash App for everyday health treatments and access to virtual health services
• Season Ticket Loan & Cycle to Work schemes
• Access to an Employee Assistance Programme
• Gifts for work anniversaries and big life events
• Dog friendly office

Find out more about working at EDITED here: https://edited.com/careers/

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.

It's important for us to look for candidates that strive for excellence with a positive attitude, a strong sense of ownership and work ethic, and a passion to consistently develop and improve their knowledge and skillset. If you're excited about the role of Backend Engineer and the opportunity to work at EDITED, we encourage you to apply even if you only match some, rather than all, of the requirements., * 5+ years of experience in back-end engineering roles, with a track record of delivering complex projects and demonstrating technical leadership in a senior position.

• Proven ability to take ownership of projects, drive results, and mentor team members to achieve success.
• Proficiency in Python and fluent in some *nix flavour.
• Excellent communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.
• Strong understanding of data management, APIs, and infrastructure, with the ability to architect scalable solutions
• Ability to adapt and learn new technologies quickly, with a passion for ensuring your code is maintainable, driven by a hands-on curiosity about AI.

Desirable:

• Hands-on experience building with LLMs - agents, RAG, evals and tooling such as MCP.
• An active interest in DevOps and Machine Learning.
• Experience with frameworks like Django, Flask or FastAPI, Elasticsearch or similar NoSQL technologies, and relational databases.
• Experience with large-scale data processing, including self-hosted or bare-metal environments.

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. You'd be joining a small engineering team with a large surface area. That means variety, visible impact, and no waiting for permission to fix something. You'll be building the platform the world's biggest brands and retailers use to make decisions every day. A large part of that is now AI. Our AI chatbot is live with customers, and there's plenty left to build - new agents, new tooling, new MCP integrations. You'll also help evolve the infrastructure that processes retail data at a serious scale. It's a rare mix: mature systems with real users, and genuinely new ground to break. * Collaborate with cross-functional teams, including Product Managers, Data Scientists, Retail Analysts and Customer Success, to understand business requirements, identify problems, and develop innovative solutions. * Build our AI chatbot, along with the agents, tooling and MCP integrations behind it - used both internally and by customers. * Lead by example on how we build with AI, while raising the bar on code quality, testing and observability through review and mentoring. * Scale and adapt our large-scale retail data infrastructure, spanning AWS and bare metal, as the demands of AI-driven products reshape our technical architecture. * Own what you build end to end, from scoping the problem through to deploying, monitoring and iterating on it in production.