Description

• Design, develop, and deploy Generative AI applications using Large Language Models (LLMs).
• Build and maintain Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases.
• Develop AI-powered chatbots, virtual assistants, document intelligence, and knowledge search solutions.
• Create scalable backend services and APIs using Python.
• Integrate LLMs with enterprise applications, databases, and external APIs.
• Work with vector databases for semantic search and document retrieval.
• Deploy AI solutions on AWS, Azure, or GCP cloud platforms.
• Optimize prompts, embeddings, and retrieval mechanisms for improved performance.
• Collaborate with Data Scientists, ML Engineers, and Cloud Engineers to deliver production-ready AI solutions.
• Implement monitoring, evaluation, and governance for GenAI applications

Key Skills

Education

Any Gradute