AI-Driven Android Engineer: Kotlin & Reliable Mobile UX

Bjak; Germany (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

A1 is seeking an experienced Android Software Engineer to own the Android client experience where AI interactions are core to the product. You will build a production Android application focused on reliability, performance, and clear user interactions.

Responsibilities include integrating AI-powered features via backend APIs, designing UX patterns for streaming responses and partial results, and collaborating with backend and ML engineers to ensure stable, secure deployments across devices.

Qualifications

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

Responsibilities

• Build and maintain production Android apps using Kotlin.
• Integrate AI-powered features 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 API contracts and system behavior.
• Ensure app stability, security, and scalability in production environments.

Skills

Kotlin

Android development

AI features integration

Coroutines/Flow

REST/gRPC APIs

Debugging

Performance profiling

MLKit on-device

Google Play Publishing

Tools

TensorFlow Lite

MLKit

Job description

A1 is seeking an experienced Android Software Engineer to own the Android client experience where AI interactions are core to the product. You will build a production Android application focused on reliability, performance, and clear user interactions.

Responsibilities include integrating AI-powered features via backend APIs, designing UX patterns for streaming responses and partial results, and collaborating with backend and ML engineers to ensure stable, secure deployments across devices.