AI Engineer

Responsibilities:

• Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.


• Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval systems.


• Design, develop, and deploy Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models.


• Implement and manipulate complex algorithms essential for developing and optimizing generative AI models.


• Manage data pipelines involving data pre-processing, augmentation, and synthetic data generation to enhance model training and performa...