Android Software Engineer- AI

Android Software EngineerFull Time, Direct HireRemote, USAThere are over 5 billion users using basic applications today such email, notes, 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.This engineer will own the Android side of our AI assistant. They'll build the app in Kotlin, connect it to backend/AI services, and make sure AI interactions feel fast, reliable, and intuitive.A big part of the job is dealing with the realities of AI-powered apps. AI responses can be slow, incomplete, unpredictable, or fail entirely, so this engineer needs to build the Android experience around those situations.They'll work on things like AI chat, vision/image features, voice/speech, recommendations, streaming responses, retries/fallbacks, analytics, logging, and user feedback collection.RoleAs 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.FocusBuild 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 Experiences3+ 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.OutcomesStable, 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 StackKotlin / JavaSQL / noSQLTensorFlow Lite (on-device inference)