About the 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.
Outcomes
- Stable, smooth, and reliable real-world use 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)
What you’ll bring
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.
Benefits and perks
Skills
Required
CoroutinesPerformance ProfilingRESTAsynchronous programmingGRPCDebuggingKotlinFLOWAndroid
Nice to have
SQLNoSQLTensorFlow LiteLLMAnalyticsLoggingUx DesignJava
Your contact
R
Ryan