Android AI Apps Engineer

ActAI

Zürich

Vor Ort

CHF 90.000 - 130.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

ActAI is seeking an Android Developer to own the Android client experience in a cutting-edge AI-enabled product. You will build a production Android application where AI interactions drive the user experience, focusing on reliability, performance, and clear UX for AI features.

You will integrate AI capabilities (chat, vision, voice, recommendations) via backend APIs, collaborate with backend and ML engineers, and optimize for latency and scalability.

Qualifikationen

  • 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 on-device inference.
  • Published production apps on Google Play Store.

Aufgaben

  • Own the Android client experience for AI-powered features, ensuring smooth UX and reliable performance.
  • Integrate AI features via backend APIs and design UX patterns for streaming responses.
  • Collaborate with backend and ML engineers on API contracts and system behavior.
  • Optimize app performance, memory usage, and responsiveness for AI-heavy flows.
  • Implement analytics, logging, and feedback capture to support AI evaluation and iteration.
  • Ensure app stability, security, and scalability in production environments.

Jobbeschreibung

ActAI is seeking an Android Developer to own the Android client experience in a cutting-edge AI-enabled product. You will build a production Android application where AI interactions drive the user experience, focusing on reliability, performance, and clear UX for AI features.

You will integrate AI capabilities (chat, vision, voice, recommendations) via backend APIs, collaborate with backend and ML engineers, and optimize for latency and scalability.

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