Overview

Role: Backend Engineer with a focus on building scalable, real-time backend services and API development to support AI-powered personalization and in-store experiences.

About Us

About Us: We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience.

Role

Role: We’re looking for an experienced Backend Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You’ll help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You’ll work across the backend stack, real-time data flows and APIs on a backend designed for scale & flexibility.

Responsibilities

• Contribute to distributed, event-driven backend services connecting our web experience with information from remote devices and external data sources.
• Build and document APIs (OpenAPI/AsyncAPI) for mobile and web clients
• Model and manage structured and semi-structured data across storage layers
• Integrate AI-driven personalisation and real-time insights into user flows
• Contribute to overall system design: service boundaries, data ownership, scaling, and observability

Essential Qualifications

• Built modern full-stack applications w/ focus on backend (Python/Java/Go)
• Worked with a variety of storage technologies (e.g. Postgres, Mongo, Redis, Object)
• Experience with async and bi-directional communication protocols and patterns (e.g. WebSockets, SSE)
• Designed and implemented event-driven distributed systems (e.g. Kafka/Pulsar, RabbitMQ, MQTT, or similar)
• Experience with container orchestration and service containerisation (Kubernetes, Docker)
• Built and deployed services on any major cloud providers' services (Azure, GCP, AWS)
• AI-Native development: use AI tools such as Copilot or Cursor as a collaborator and accelerator of development

Nice to Have

• Worked with real-time data collection and/or processing
• Worked in an IoT or Edge-oriented architectures
• Experience or knowledge in retail POS, inventory, or loyalty systems

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Technology, Information and Media

Location: London Area, United Kingdom