Android AI Apps Engineer

ActAI; España; Presencial; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

ActAI is seeking an experienced Android Developer to own the mobile client experience for AI-powered apps. You will build a production Android application where AI interactions are core to the product, focusing on performance, reliability, and clarity on mobile devices.

You will integrate AI features (chat, vision, voice, recommendations) via backend APIs, optimize for latency, implement streaming responses, and collaborate with backend/ML engineers to define contracts.

Formación

• 3+ years of Android development experience using Kotlin.
• Hands-on experience integrating AI features (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.
• Experience with on-device ML like MLKit or TensorFlow Lite.
• Published production apps on Google Play.

Responsabilidades

• Build and maintain production Android apps using Kotlin.
• Integrate AI-powered features via backend APIs.
• Design UX patterns for AI interactions, including streaming responses and partial results.
• Optimize performance, memory usage, and responsiveness for AI-heavy flows.
• Implement analytics, logging, and feedback capture for AI evaluation.
• Collaborate with backend and ML engineers on API contracts and system behavior.
• Ensure app stability, security, and scalability in production environments.

Conocimientos

Kotlin

Coroutines

Flow

AI integration

REST / gRPC

Debugging

Performance profiling

Herramientas

MLKit

TensorFlow Lite

Google Play Console

Descripción del empleo

ActAI is seeking an experienced Android Developer to own the mobile client experience for AI-powered apps. You will build a production Android application where AI interactions are core to the product, focusing on performance, reliability, and clarity on mobile devices.

You will integrate AI features (chat, vision, voice, recommendations) via backend APIs, optimize for latency, implement streaming responses, and collaborate with backend/ML engineers to define contracts.