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.
Required Skills:
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 MCP Servers.
Knowledge of RAG, embeddings, and vector search.
Experience with APIs, Docker, and cloud environments.
