Android Software Engineer
Bjak · Zürich
About ActAI
There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.
Our first application is an agent-first mobile communication app. We believe building applications that users use daily for communication, coordination and collaboration needs will help integrate AI into their lives. The net effect is to eliminate misinformation, achieve low coordination costs, enable high quality tasks and collaboration at scale with minimal or little prompting.
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 to billions globally.