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 experience, powering real-time, context-aware interactions in physical retail environments through beautifully engineered mobile experiences.

Role:

We're looking for an experienced Android Engineer to help with the development of a cutting-edge consumer facing app designed to change the physical in-store shopping experience. You’ll collaborate closely with our team of ML & backend engineers and product to deliver a mobile experience that feels fast, personalised, and deeply responsive to user context.

Responsibilities:

• Architect and implement Android features that include:
• Real-time & bi-directional communication
• On-device inference using Edge optimised frameworks
• Offline-aware & offline-first UX flows using prefetching, caching, and background sync
• Profile, optimise, and tune the app for low latency, efficient memory usage, and battery performance
• Work closely with AI & ML team members to build context-driven user experiences
• Help define and evolve a robust mobile architecture using modern patterns
• Work closely with design & product to ship polished, scalable user interactions

Essential Qualifications:

• Experience with real-time protocols (eg. WebSockets gRPC, MQTT, SSE or similar)
• Experience with implementing on-device machine learning (eg. PyTorch Mobile, ML Kit, TensorFlow Lite)
• Strong understanding of Android performance: lifecycle, coroutines, memory, and threading
• Familiarity with edge-friendly architecture: offline-first, sync queues, reactive flows
• Comfort working in fast-paced, zero-legacy, product-driven environments
• Curiosity about behavioural data, context-aware design, or next-gen retail

Nice-to-Haves:

• Knowledge and/or Experience with Bluetooth & sensor APIs
• Knowledge and/or Experience working with USB-C connected peripheral devices
• Experience in early-stage product design and MVP development