Source description
About the role
Design, develop, and deploy Generative AI and Agentic AI solutions for real-world business use cases
Build and optimize LLM-based applications using frameworks such as LangChain and LangGraph
Implement RAG (Retrieval Augmented Generation) pipelines using vector databases Integrate LLMs with enterprise systems, APIs, and data sources
Fine-tune and evaluate LLMs for performance, accuracy, and cost optimization
Collaborate with data scientists, engineers, and product teams to deliver end-to-end AI solutions
Ensure best practices for model security, governance, and scalability
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