Job Title: Android Engineer (AI Model integration)

Location: Bangalore

Experience: 8-10 Years

Responsibilities;

• Develop and maintain Android components that interact with ondevice AI models.
• Implement realtime audio capture, processing, and inference workflows using native layers.
• Optimize mobile inference pipelines for performance, memory efficiency, and low latency.
• Work closely with ML and platform teams to integrate model runtimes and deployment artifacts.
• Provide technical leadership on mobile performance tuning, native interoperability, and best practices.

Required Skills:

• Strong expertise in Android development (Kotlin/Java) with deep experience in C++ and Android NDK.
• Handson experience integrating ONNX Runtime Mobile, whisper.cpp, or other native ML runtimes.
• Proficiency in JNI, native libraries, threading, and memory management.
• Experience with realtime audio pipelines (AudioRecord, AAudio) and audio stream handling.
• Understanding mobile performance optimization: CPU/GPU usage, caching, SIMD/NEON acceleration.
• Experience working with quantized models (INT8/FP16) for ondevice inference.

Preferred Skills:

• Experience with lowlatency STT/TTS features or audiodriven mobile applications.
• Familiarity with CMake, crosscompilation, and building portable C++ libraries.
• Exposure to deploying ML models on constrained mobile/edge environments