Android Software Engineer

BjakIreland, MS

About The Position

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.

Requirements

  • 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.
  • Published production apps on the Google Play Store.

Nice To Haves

  • Experience with MLKit or light on-device inference.

Responsibilities

  • 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.
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