Closes in 2 days

Android Software Engineer

GermanyCompetitiveOnsite0 applicants

About this role

About ActAI

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 prompting.

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.

Requirements

  • 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

About Bjak

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 prompting. Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations Our objective is to organise anyone's life, allowing us all to spend time on valuable and meaningful things. 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

EU Requirements

Job Details

Posted21 September 2026
Closes21 October 2026
Work ModeOnsite

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