Description

Key Responsibilities

• Design and develop agentic AI solutions using LangChain, LangGraph, and A2A communication protocols
• Implement RAG (Retrieval-Augmented Generation) pipelines leveraging Azure AI Search and vector databases
• Build and orchestrate multi-agent workflows and intelligent automation systems
• Develop backend services using Java Spring Boot for integration, APIs, and enterprise workflows
• Create responsive front-end applications using React JS
• Integrate OpenAI / LLM models for reasoning, generation, and decision-making capabilities
• Manage and optimize vector storage solutions using PGVector or ChromaDB
• Ensure scalability, performance, and security of AI-driven applications
• Collaborate with cross-functional teams to translate business use cases into AI-powered solutions

Required Skills

• Strong programming skills in Python and Java (Spring Boot)
• Hands-on experience with LangChain, LangGraph, and Agentic AI frameworks
• Deep understanding of RAG architecture and enterprise search (Azure AI Search)
• Experience with OpenAI or similar LLM platforms
• Knowledge of vector databases (PGVector, ChromaDB)
• Front-end development experience with React JS
• Understanding of agent orchestration and distributed AI systems

Nice to Have

• Experience with multi-agent systems and orchestration frameworks
• Exposure to enterprise AI architecture and cloud platforms (Azure preferred)
• Knowledge of AI governance, evaluation, and monitoring frameworks

Key Skills

Education

Bachelor's degree