Android Software Engineer

• About A1 There 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, organising 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 enjoyable with over ~90%* 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 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) 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 Interview process If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews
• Applications are evaluated by our technical team members
• Interviews will be conducted via virtual meetings and/or onsite
• We value transparency and efficiency, so expect a prompt decision
• If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us
• This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical

benefits