Senior Android Engineer

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 drive the development of complex Android features, including robust real‑time communication and bi‑directional data flows.
• Design offline‑first architectures, implementing sophisticated prefetching, caching, and background sync engines.
• Take ownership of app performance, profiling and optimising for low latency, memory efficiency, and battery life in a resource‑intensive environment.
• Integrate complex ML features into the UI/UX, bridging the gap between the Edge AI team’s models and the user interface.
• Define and evolve the mobile codebase using modern architectural patterns (MVI/MVVM, Clean Architecture) to ensure scalability.
• Mentor and collaborate, working closely with product and design to turn complex technical capabilities into polished user interactions.

Essential Qualifications

• Experience with real‑time protocols and data‑heavy applications (e.g. WebSockets, gRPC, MQTT, SSE).
• Expert‑level understanding of Android internals: concurrency, memory management, and the full lifecycle constraints.
• Proven track record of building resilient, offline‑capable systems (familiarity with sync queues, local databases, and reactive flows).
• Ability to architect for complexity, handling asynchronous data streams and complex state management cleanly.
• Comfort working in fast‑paced, product‑driven environments where you are expected to make high‑level technical decisions.
• Curiosity about behavioural data and context‑aware design.

What Sets You Apart

• Exposure to integrating machine learning features (e.g. ML Kit, or custom TFLite models) into a production app.
• Experience with hardware integration (Bluetooth, Sensor APIs, or USB‑C peripherals).
• Background in early‑stage product design or MVP development.

Job Details

Seniority Level: Mid‑Senior level

Employment type: Full‑time

Job function: Engineering and Information Technology

Industries: IT Services and IT Consulting