Description

You will design and develop agentic AI solutions, building multi-agent workflows and intelligent automation systems. You own the full stack, from backend integration services to responsive front-end applications, while ensuring scalability and security for AI-driven applications.

This role is on-site.

Responsibilities

• Design and implement agentic AI solutions using LangChain, LangGraph, and A2A communication protocols.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines leveraging Azure AI Search and vector databases.
• Develop backend integration services, APIs, and enterprise workflows using Java Spring Boot.
• Create responsive front-end applications using React JS.
• Integrate OpenAI and other LLM models for reasoning, generation, and decision-making capabilities.

Required Skills

• Strong programming skills in Python and Java (Spring Boot) with 5+ years of experience.
• Hands-on experience with LangChain, LangGraph, and Agentic AI frameworks.
• Deep understanding of RAG architecture and enterprise search technologies, specifically Azure AI Search.
• Experience with OpenAI or similar LLM platforms.
• Knowledge of vector databases such as PGVector or ChromaDB.
• Front-end development experience with React JS.
• Understanding of agent orchestration and distributed AI systems.

Preferred Skills

• Experience with multi-agent systems and orchestration frameworks.
• Exposure to enterprise AI architecture and cloud platforms (Azure preferred).

Key Skills

Education

Bachelor's degree