Key Responsibilities:
AI Agent Development & Autonomous Systems
Develop AI/ML-powered autonomous agents using Azure AI Foundry, Azure Agent AI Service, LangGraph, AutoGen, and Semantic Kernel
Design and implement multi-agent AI workflows with reasoning, goal-driven planning, and adaptive memory
Utilize Semantic Kernel for long-term memory, function calling, and RAG-based workflows
Orchestrate and fine-tune AI models in production settings using Azure AI Foundry

LLM & AI Integration in Full-Stack Applications
Deploy GPT-4, Phi-3, and Hugging Face models on Azure OpenAI for enterprise applications
Integrate LLM-based services into .NET and Node.js APIs
Develop AI-powered UIs using React.js, embedding natural language interfaces and AI copilots
Implement vector search and retrieval with Azure Cognitive Search, Pinecone, and FAISS

Full-Stack AI Application Development
Build backend AI APIs using .NET Core or Node.js integrated with Azure AI services
Develop interactive AI-driven frontends using React.js, TypeScript, and Microsoft Fluent UI




Implement AI-assisted chatbots, copilots, and workflow automation in enterprise applications
Ensure scalability, performance, and security of AI-powered web applications

Enterprise AI & Microsoft Ecosystem Integration
Build LLM-driven enterprise copilots for Microsoft 365, Teams, and Power Platform
Develop AI-powered assistants and chatbots integrating with Microsoft Graph API & Azure AI Studio
Automate workflows using AI agents in Power Automate and Azure Logic Apps
Enhance enterprise search and knowledge management using Azure Cognitive Search and vector databases

AI Performance Optimization & Responsible AI
Optimize LLM token usage, reduce latency, and improve cost efficiency
Implement prompt engineering, retrieval caching, and fine-tuned model deployment
Ensure compliance with Azure AI Content Safety, Responsible AI principles, and enterprise AI governance
Build monitoring and explai

📌 Ai Engineer Secunderabad
🏢 Neudesic Technologies
📍 Secunderabad