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- Design and build autonomous AI agents using modern LLM frameworks. - Develop and optimize Agentic AI workflows for enterprise applications. - Build Retrieval-Augmented Generation (RAG) pipelines using vector databases. - Fine-tune and evaluate Large Language Models for specific business use cases. - Develop machine learning and deep learning models for predictive analytics. - Create AI-powered automation solutions to improve operational efficiency. - Design prompt engineering strategies for high-performing AI systems. - Collaborate with product, engineering, and business teams to translate requirements into AI solutions. - Monitor, evaluate, and improve AI model performance, reliability, and safety. - Stay updated with emerging AI technologies, research, and best practices. .