Develop applications using LLMs and GenAI frameworks.
Implement Retrieval-Augmented Generation (RAG) solutions Integrate APIs from OpenAI Build and deploy solutions using Microsoft Azure OpenAI Service Design and manage vector search solutions using Azure AI Search
Work with embeddings and vector databases Optimize model performance, cost, and latency Deploy AI solutions on cloud platforms
Strong Python programming skills Experience with LLMs and prompt engineering
Hands-on experience with Azure AI services (Azure OpenAI, Azure AI Search, Azure AI Foundry)
Hands-on experience with LangGraph, LangChain Experience in development in Agents and MCPServers
Knowledge of RAG, embeddings, and vector search
Experience with APIs, Docker, and cloud environments
