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:
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 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 (eg. Postgres, Mongo, Redis, Object)
Experience with async and bi-directional communication protocols and patterns (eg. WebSockets, SSE)
Designed and implemented event-driven distributed systems (eg. 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 a collaborator and accelerator of development.
Nice to Have:
Experience in frontend development (eg. Javascript, Typescript, React.js)
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