Android Software Engineer

Own the Android client for a product where AI is the core experience, not a feature bolted on afterwards. The Opportunity Our client is rebuilding the everyday apps billions of people rely on (email, notes, tasks, calendar) as AI-native products that do the work without the user having to master prompts. They are a well-funded AI applications company, backed by an established technology company in Southeast Asia and building for a global market. The Android engineer owns how that intelligence feels, behaves and performs on mobile. The client is explicit that this is not a thin-client job: AI interactions sit at the center of the app, so performance, reliability and clarity are the work. Role Snapshot Location: United States, United Kingdom, Europe (Ireland, Germany, Poland, Portugal, Spain, Sweden, Switzerland) or Asia (Singapore, South Korea, Indonesia, China) Work Model: Remote in most locations; hybrid in the UK, Zurich and Seoul Employment Type: Full-time Compensation: Competitive, shared on intro call Team: Engineering, mobile What You’ll Own Build and maintain production Android apps in Kotlin, on a stack of Kotlin/Java, SQL and NoSQL, and TensorFlow Lite for on-device inference. Integrate AI-powered features (chat, vision, voice, recommendations) through backend APIs. Design the UX patterns for AI interactions, including streaming responses, retries and partial results. Optimize performance, memory usage and responsiveness in AI-heavy flows. Implement the analytics, logging and feedback capture that feed AI evaluation and iteration. Shape API contracts and system behavior alongside backend and ML engineers. Keep the app stable, secure and scalable in production. What You Bring 3+ years of Android development experience using Kotlin. Hands-on experience integrating AI features such as LLM, vision or speech APIs. A strong understanding of asynchronous programming (Coroutines, Flow). Familiarity with REST or gRPC APIs and structured data formats. Strong debugging and performance profiling skills. Comfort building where latency, partial failure and non-deterministic behavior are normal. Experience with MLKit or light on-device inference. Published production apps on the Google Play Store. Why This Role AI is the product, so the mobile client carries real weight in how users experience it. A small, hands-on team with a high bar, where engineers bring their own structure and judgment and execute independently. Clear success measures: stable, responsive, low-latency apps, with production issues caught early and root-caused properly. A short hiring process: three to four interviews, assessed by engineers, with a prompt decision. Not the Right Fit If You want a thin-client role that wires screens to an API and stops there. You need deterministic systems. AI output here is streamed, partial and sometimes wrong, and the app has to handle that gracefully. You prefer heavy process to a small team that decides and ships quickly. Next Step Apply through Axe Recruiting or book a confidential intro call: the employer's site. All conversations are confidential and the client is disclosed on the call. Presented by Axe Recruiting | axerecruiting | Confidential search on behalf of client.