Full Stack Engineer

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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 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.

• 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

• 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. Web Sockets, 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 provider's services (Azure, GCP, AWS)
• Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping

• 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

Mid‑Senior level

Full‑time

Engineering and Information Technology

IT Services and IT Consulting

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