Android Software Engineer at Bjak

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

10 Jul, 26

Salary

0.0

Posted On

11 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Android Development, Kotlin, Java, AI Integration, Coroutines, Flow, REST APIs, gRPC, Performance Profiling, TensorFlow Lite, On-device Inference, Debugging, Mobile UX Design, Analytics, Logging, SQL

Industry

Software Development

Description

About the Role A1 is building a proactive AI system that users rely on daily across conversations, tools, and workflows. As an Android Developer, AI Apps, 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.

Responsibilities

You will build and maintain production Android applications with a focus on integrating AI-powered features like chat, vision, and voice. You will also optimize app performance, memory usage, and responsiveness while collaborating with backend and ML engineers.