Android Software Engineer

There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.

Our first application is an agent-first mobile communication app. We believe building applications that users use daily for communication, coordination and collaboration needs will help integrate AI into their lives. The net effect is to eliminate misinformation, achieve low coordination costs, enable high quality tasks and collaboration at scale with minimal or little prompting.

• Build and maintain production Android applications using Kotlin, including messaging, chat and AI-powered features

• Develop user interfaces for real-time communication, streaming AI responses, voice interactions and background tasks

• Integrate backend APIs and handle asynchronous operations, network failures, retries and data synchronisation

• Optimise application performance, startup time, memory usage and responsiveness across Android devices

• Implement local storage, push notifications, analytics and error monitoring to support reliable application behaviour

• Work with backend, ML and design teams on API integration, feature development and release testing

• Debug production issues, improve application stability and manage releases to Google Play

• 3+ years of Android development experience using Kotlin, with applications shipped to production

• Strong understanding of Android SDK, application lifecycle, Jetpack libraries, Coroutines and Flow

• Experience building Android interfaces using Jetpack Compose or Android Views

• Experience designing and operating production APIs and distributed services.

• Able to manage application architecture, concurrency, background processing and local data storage

• Strong debugging skills, including diagnosing crashes, network failures and device-specific issues

• Experience diagnosing production issues and improving application performance, memory usage, battery consumption and stability

• Experience integrating LLM, speech, vision or other AI-powered APIs into mobile applications

• Experience building chat, messaging or real-time communication applications

• Experience with WebSockets, streaming APIs or offline-first application design

• Experience with on-device ML using ML Kit, TensorFlow Lite or similar frameworks