Android Software Engineer

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

About A1

There are over 5 billion users using basic applications today such as email, notes, and tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organizing and workflows, with minimal prompting.

Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. Our objective is to help users complete tasks daily with reduced time.

Role

As an Android Software Engineer, you own the Android client experience, how AI feels, behaves, and performs on mobile devices. This is not a thin client role. You will build a production Android application where AI interactions are core to the product, and performance, reliability, and clarity matter.

Focus

• Build and maintain production Android apps using Kotlin.

• Integrate AI-powered features (chat, vision, voice, recommendations) 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.

Ideal Experiences

• 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.

Outcomes

• Stable, smooth, and reliable real-world Android applications.

• Performance is optimized: responsive, low-latency, and efficient on memory and CPU.

• Production issues are detected early, monitored effectively, and resolved with clear root-cause analysis.

Tech Stack

• Kotlin / Java

• SQL / noSQL

• TensorFlow Lite (on-device inference)

How We Work

The best products today in the world were built by small, world-class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product.