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 Full Stack 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 stack, implementing highly responsive UI components and real-time data flows and APIs on a backend designed for scale & flexibility.

Responsibilities:

Design and implement reactive, real-time web interfaces that help manage & redefine what is possible with in-store content personalisation 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 (Python/Java/Go + React) 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) Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping

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