Gen AI Developer
Indexed 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
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