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Android Software Engineer

Bjak
SwitzerlandRemote Today

About A1

There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows, with minimal prompting.

Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. Our objective is to help users complete tasks daily enjoyable with over ~90%* reduced time.

Role

As an Android Software Engineer, you own the Android client experience, how AI feels, behaves, and performs on mobile devices. This is not a thin client role. You will build a production Android application where AI interactions are core to the product, and performance, reliability, and clarity matter.

Focus

  • Build and maintain production Android apps using Kotlin.

  • Integrate AI-powered features (chat, vision, voice, recommendations) via backend APIs.

  • Design UX patterns for AI interactions, including streaming responses, retries, and partial results.

  • Optimize performance, memory usage, and responsiveness for AI-heavy flows.

  • Implement analytics, logging, and feedback capture to support AI evaluation and iteration.

  • Collaborate closely with backend and ML engineers on API contracts and system behavior.

  • Ensure app stability, security, and scalability in production environments.

Ideal Experiences

  • 3+ years of Android development experience using Kotlin.

  • Hands-on experience integrating AI features (e.g. LLM, vision, speech APIs).

  • 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 in environments with latency, partial failure, and non-deterministic behavior.

  • Experience with MLKit or light on-device inference.

  • Published production apps on the Google Play Store.

Outcomes

  • Opens the company's application page

    About the company

    Bjak

    Listed via

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    Himalayas

    himalayas.app