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 experienced Backend, Full Stack and Platform Engineers 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 app experiences and the event-driven & real-time backend services that power them. You’ll work across our platform, 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 (e.g. 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 (eg. 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 a collaborator and accelerator of development.
Nice to Have:
* Experience in web or Android development (e.g. Javascript, Typescript, React.js, Kotlin)
* 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