Gen-AI-RAG Engineer

This role focuses on designing, developing, and implementing Generative AI and Retrieval-Augmented Generation (RAG) solutions. The engineer will be responsible for building robust and scalable systems that leverage large language models to enhance applications and workflows, ensuring high performance and accuracy.

Key Responsibilities:

Develop and implement RAG pipelines for various applications.
Design and build GenAI models and integrate them into existing systems.
Evaluate and fine-tune large language models for specific tasks.
Optimize model performance and efficiency.
Collaborate with cross-functional teams to define requirements and deliver solutions.
Ensure the security and reliability of AI systems.
Stay up-to-date with the latest advancements in GenAI and RAG technologies.

Requirements/Qualifications:

Extensive experience in software engineering and AI development.
Strong understanding of Generative AI models and techniques.
Experience with Retrieval-Augmented Generation (RAG) architectures.
Proficiency in programming languages such as Python.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
Excellent problem-solving and analytical skills.
Ability to work independently and as part of a team.

About the Company: Cognizant is a global professional services company that helps organizations modernize and transform their businesses. They provide a range of services including consulting, technology, and business process outsourcing to clients across various industries.