Key skills
PythonJavaAILLMOpenAIRAGLangChainAgenticLangGraphReactSpring BootSpringAzureCommunication
About this role
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