Android Software Engineer

Axe Recruiting; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

Kotlin

Android

AI features

Coroutines

REST/gRPC APIs

Debugging

Performance

MLKit

Google Play

Job description

Own the Android client for a product where AI is the core experience, not a feature bolted on afterwards.

The Opportunity

Our client is rebuilding the everyday apps billions of people rely on (email, notes, tasks, calendar) as AI-native products that do the work without the user having to master prompts. They are a well-funded AI applications company, backed by an established technology company in Southeast Asia and building for a global market. The Android engineer owns how that intelligence feels, behaves and performs on mobile. The client is explicit that this is not a thin-client job: AI interactions sit at the center of the app, so performance, reliability and clarity are the work.

Role Snapshot

• Location: United States, United Kingdom, Europe (Ireland, Germany, Poland, Portugal, Spain, Sweden, Switzerland) or Asia (Singapore, South Korea, Indonesia, China)
• Work Model: Remote in most locations; hybrid in the UK, Zurich and Seoul
• Employment Type: Full-time
• Compensation: Competitive, shared on intro call
• Team: Engineering, mobile

What You’ll Own

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

What You Bring

• 3+ years of Android development experience using Kotlin.
• Hands-on experience integrating AI features such as LLM, vision or speech APIs.
• A 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 where latency, partial failure and non-deterministic behavior are normal.
• Experience with MLKit or light on-device inference.
• Published production apps on the Google Play Store.

Why This Role

• AI is the product, so the mobile client carries real weight in how users experience it.
• A small, hands-on team with a high bar, where engineers bring their own structure and judgment and execute independently.
• Clear success measures: stable, responsive, low-latency apps, with production issues caught early and root-caused properly.
• A short hiring process: three to four interviews, assessed by engineers, with a prompt decision.

Not the Right Fit If

• You want a thin-client role that wires screens to an API and stops there.
• You need deterministic systems. AI output here is streamed, partial and sometimes wrong, and the app has to handle that gracefully.
• You prefer heavy process to a small team that decides and ships quickly.