Android Software Engineer (AI Systems)
- Posted 12 days ago
- Be among the first 10 applicants
Job Description
Company Overview
The client is an innovative AI Fintech company on a mission to transform how people work by creating proactive digital assistants that do more than just respond to prompts. By combining AI reasoning, long-term context, and automation, they help users complete everyday tasks faster, smarter, and with less manual effort.
Job Responsibilities
Syahirah Binte Ahmad Ja'afar (R22105331)
JAC Recruitment Pte. Ltd. (90C3026)
The client is an innovative AI Fintech company on a mission to transform how people work by creating proactive digital assistants that do more than just respond to prompts. By combining AI reasoning, long-term context, and automation, they help users complete everyday tasks faster, smarter, and with less manual effort.
Job Responsibilities
- Develop, enhance, and maintain production Android applications using Kotlin.
- Integrate AI-driven capabilities such as conversational assistants, computer vision, voice experiences, and recommendation engines through backend services and APIs.
- Design intuitive user experiences for AI workflows, including streaming responses, error recovery, retries, and handling partial results.
- Optimize application performance, responsiveness, memory consumption, and battery efficiency for AI-intensive use cases.
- Implement analytics, monitoring, logging, and user feedback mechanisms to support AI evaluation, continuous improvement, and data-driven decision-making.
- Partner closely with backend, platform, and machine learning engineers to define API contracts and ensure seamless end-to-end functionality.
- Maintain high standards for application stability, security, scalability, and production readiness.
- 3+ years of professional Android development experience using Kotlin.
- Practical experience integrating AI technologies such as LLMs, computer vision, speech recognition, or other AI-powered APIs.
- Strong understanding of asynchronous programming concepts, including Coroutines and Flow.
- Experience working with RESTful or gRPC services and structured data formats.
- Excellent debugging, troubleshooting, and performance optimization skills.
- Comfortable building systems that operate under latency constraints, partial failures, and non-deterministic AI behavior.
- Experience with ML Kit, TensorFlow Lite, or lightweight on-device machine learning solutions is advantageous.
- Track record of delivering and maintaining production applications published on the Google Play Store.
Syahirah Binte Ahmad Ja'afar (R22105331)
JAC Recruitment Pte. Ltd. (90C3026)
More Info
Key Skills
TensorFlow Lite
structured data formats
gRPC services
ML Kit
Coroutines
AI technologies
