Developer

Must Have's Develop LangGraph-based Agentic Framework implementation Use Large Language Models for content generation Create Prompt templates for LLMs Fluent in Python, Jupyter Notebooks Experience in RAG pipelines / Vector Databases Develop Python-based parsers for PDFs Experience on Node.js programming and testing Experience on deployment in AWS or GCP Development and testing of a Generative AI solution, either Agentic or non-AgenticAI Deep understanding of any framework, either Langgraph or Autogen or CrewAI Deep understanding of Data preprocessing, Prompt management, Caching, Validation, Advanced RAG, RLHF, and success measurement. Thorough understanding of LLMOps, data pipelines and other common services required to operationalize the Generative AI use cases. Designing end-to-end Generative AI solutions tailored to specific use cases. Deep understanding of automation and AI technologies and their application in business operations. J-18808-Ljbffr