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Android Software Engineer

8Bit - Games Industry RecruitmentIkona lokalizacjiGlobalnie

Żródlo publikacji: JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano22 lipca 2026
Wykryte przez nas
Wykryte przez nas23 lipca 2026
Zarobki
Zarobki20 000 - 28 000 PLN

Our client is building an AI-native personal assistant designed to help users manage conversations, tasks, and everyday workflows with minimal prompting. As an Android Software Engineer, you’ll play a key role in shaping the mobile experience, building a production Android application where AI is at the core of the product.

RESPONSIBILITIES

  • Develop and maintain Android applications using Kotlin

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

  • Design intuitive UX for AI interactions, including streaming responses and error handling

  • Optimize app performance, responsiveness, and reliability

  • Collaborate closely with backend and ML engineers to deliver production-ready features

REQUIREMENTS

  • 3+ years of Android development experience with Kotlin

  • Experience integrating AI/LLM, vision, or speech APIs into production applications

  • Strong knowledge of Coroutines, Flow, REST/gRPC APIs, and asynchronous programming

  • Experience optimizing performance, debugging, and shipping production Android applications

  • Comfortable working in fast-paced startup environments with evolving AI technologies

NICE TO HAVE

  • Experience with TensorFlow Lite, ML Kit, or on-device inference

  • Published apps on the Google Play Store

  • Familiarity with SQL/NoSQL databases

WHAT THEY OFFER

  • EOR contract

  • Cash and equity compensation

  • Remote-first setup with flexible hours as part of a distributed, global team

  • Generous paid time off

  • Company laptop provided

  • A quick hiring process: 3, occasionally 4 interviews, with fast decisions afterwards

ABOUT THE COMPANY
They’re an early-stage AI company building a proactive assistant aimed at the 5+ billion people currently stuck using non-AI-native tools for everyday things – email, notes, tasks.
The focus is squarely on reliability: long-running workflows, persistent context, and tasks that actually get done, even though the underlying models aren’t fully deterministic.
Stage: Early-stage AI startup
Focus: Proactive AI assistant for everyday productivity
Work mode: Remote-first, distributed team

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