Remote Android AI Engineer: Build AI-Driven Mobile UX

Axe Recruiting

United States

À distance

USD 120 000 - 160 000

Plein temps

Il y a 8 jours

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Un CV et une lettre de motivation personnalisés, prêts à envoyer.

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Résumé du poste

Axe Recruiting is helping a client hire an Android engineer to own the AI-native mobile experience. You will build and maintain production Android apps in Kotlin, integrating AI features and backend APIs to deliver fast, reliable, and user-friendly experiences.

The role emphasizes performance, low latency, and robust error handling in streaming AI interactions, with a small, highly capable mobile team and a flexible work model offering remote options in many locations.

Qualifications

  • 3+ years of Android development with Kotlin.
  • Hands-on experience integrating AI features (LLM, vision, speech).
  • Strong understanding of asynchronous programming (Coroutines, Flow).
  • Familiarity with REST or gRPC APIs and structured data formats.

Responsabilités

  • Build and maintain production Android apps in Kotlin with a stack including Kotlin/Java, SQL, NoSQL, and on-device inference.
  • Integrate AI-powered features via backend APIs (chat, vision, voice, recommendations).
  • Design UX patterns for AI interactions, including streaming responses and partial results.
  • Optimize performance, memory usage, and responsiveness in AI-heavy flows.
  • Implement analytics, logging, and feedback to support AI evaluation.
  • Shape API contracts and system behavior with backend and ML engineers.
  • Keep the app stable, secure, and scalable in production.

Connaissances

Kotlin
Android
AI features
Coroutines
REST/gRPC APIs
Debugging
Performance
MLKit
Google Play

Description du poste

Axe Recruiting is helping a client hire an Android engineer to own the AI-native mobile experience. You will build and maintain production Android apps in Kotlin, integrating AI features and backend APIs to deliver fast, reliable, and user-friendly experiences.

The role emphasizes performance, low latency, and robust error handling in streaming AI interactions, with a small, highly capable mobile team and a flexible work model offering remote options in many locations.

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