Job Description
Job Responsibilities
Develop AI-powered applications leveraging LLMs, Generative AI, Agentic AI, and advanced analytics. Build and enhance AI agents that interact with enterprise tools, data sources, APIs, and business workflows. Develop orchestration workflows using frameworks such as LangGraph, Semantic Kernel, LangChain, or similar technologies. Implement MCP (Model Context Protocol) integrations to securely connect AI applications with enterprise systems, knowledge sources, and services. Build and support Retrieval-Augmented Generation (RAG), GraphRAG, and Knowledge Graph solutions. Develop scalable Python-based applications, APIs, and services to support AI and analytics use cases. Integrate enterprise LLM platforms and GenAI services into business workflows and operational processes. Perform data exploration, experimentation, testing, and performance optimization across structured and unstructured d...
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