Senior Generative AI Engineer (Edge Deployment with C++)

Key Responsibilities :

• Design, develop, and implement generative AI models (Transformers for text / image / audio generation) from research prototypes to production-ready systems.
• Optimize and deploy generative AI models on various edge devices (e.g., mobile, IoT, embedded systems, specialized AI accelerators) using C++ and relevant optimization techniques.
• Collaborate closely with research and Development Teams to identify, evaluate, and adapt novel generative AI architectures for edge deployment.
• Implement efficient inference pipelines, leveraging techniques such as model quantization, pruning, compilation, and hardware-specific optimizations.
• Develop and maintain robust C++ libraries and frameworks for model inference and integration on edge platforms.
• Conduct performance profiling, benchmarking, and debugging of AI models on target hardware.
• Contribute to the entire machine learning lifecycle, from data preprocessing and model training to deployment and monitoring.
• Stay up to date with the latest advancements in generative AI, edge computing, and C++ best practices.
• Mentor junior engineers and contribute to a culture of technical excellence.

Key Skills and Qualifications :

Strong Generative AI Skills (Must-Have) :

C++ for Edge Deployment (Must-Have) :

Good to have Skills :

Education & Experience :

Skills Required

Python, C++, Design, Develop, Pytorch, Tensorflow