Android Software Engineer

An innovative company building a proactive AI smart assistant designed to help users manage conversations, errands, organisation, and everyday workflows.

The platform is focused on delivering highly reliable AI experiences with persistent context, long-running workflows, and real-world task execution. It combines multi-step reasoning with external tool integration while maintaining reliability despite the non-deterministic nature of AI models.

The Role

As an Android Software Engineer, you'll own the Android mobile experience—shaping how AI feels, performs, and interacts with users. This is far more than a thin client role. You'll build a production-grade Android application where AI is at the core of the user experience, with a strong emphasis on performance, reliability, and usability.

What You'll Do

• Develop and maintain production Android applications using Kotlin.
• Integrate AI-powered capabilities such as chat, vision, voice, and recommendations through backend APIs.
• Design intuitive AI interaction patterns, including streaming responses, retries, and handling partial results.
• Optimise app performance, responsiveness, memory usage, and overall user experience for AI-intensive workloads.
• Implement analytics, logging, and user feedback mechanisms to support continuous AI improvement.
• Work closely with backend and machine learning engineers to define API contracts and system behaviour.
• Ensure the application remains secure, stable, and scalable in production.

What We're Looking For

• At least 3+ years of Android development experience with Kotlin.
• Experience integrating AI capabilities such as LLMs, computer vision, or speech APIs.
• Strong knowledge of asynchronous programming using Coroutines and Flow.
• Familiarity with REST or gRPC APIs and structured data formats.
• Strong debugging, profiling, and performance optimisation skills.
• Comfortable building systems that handle latency, partial failures, and non-deterministic AI behaviour.
• Experience with ML Kit or lightweight on-device inference is an advantage.
• Published Android applications on the Google Play Store are a plus.

Success Looks Like

• Delivering stable, high-quality Android applications that perform reliably in real-world usage.
• Building responsive, low-latency mobile experiences with efficient CPU and memory utilisation.
• Identifying, monitoring, and resolving production issues through effective observability and root-cause analysis.

Tech Stack

• Kotlin / Java
• SQL / NoSQL
• TensorFlow Lite (on-device inference)

If you're passionate about building AI-native mobile experiences and want to work on cutting-edge products that bring AI into everyday life and you fulfil the above criteria, please send your updated resume to Ms. Tan Shui Li, Katharine (Chen Ruili) (R1660568). We regret to inform that only shortlisted candidates will be notified.

EA License Number: 14C7227

EA Personnel Number: R1660568 (Katharine Tan)