Generative AI Engineer

Responsibilities

• Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow and PyTorch
• Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources
• Design, develop, and deploy 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 performance
• Ensure robust data handling practices including cleaning, labeling, and structuring datasets for generative AI workflows

Full Description

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

• Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources.

• Design, develop, and deploy 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 performance.

• Ensure robust data handling practices including cleaning, labeling, and structuring datasets for generative AI workflows.