Gen AI Developer

Job Summary

Seeking a Gen AI Developer with strong experience in building agentic AI systems, RAG-based architectures, and enterprise-grade AI applications. The role involves designing multi-agent workflows, integrating LLMs, and developing full-stack AI solutions using Python, Java Spring Boot, and React JS.

• Strong programming experience in Python and Java (Spring Boot).
• Hands‑on experience with agentic AI frameworks such as Lang Chain and Lang Graph.
• Expertise in designing and implementing RAG pipelines using Azure AI Search.
• Experience integrating OpenAI or other LLM platforms for reasoning and generation tasks.
• Knowledge of vector databases such as PGVector and ChromaDB.
• Front‑end development experience using React JS.
• Understanding of API design, backend services, and distributed AI systems.

• Design and develop agentic AI solutions using Lang Chain, Lang Graph, and A2A communication protocols.
• Build and optimize RAG pipelines using enterprise search and vector databases.
• Develop and integrate backend services using Java Spring Boot and REST APIs.
• Create responsive and interactive front‑end applications using React JS.
• Implement and integrate LLM‑based capabilities for intelligent automation and decision‑making.
• Design and orchestrate multi‑agent workflows for enterprise use cases.
• Ensure scalability, performance, security, and reliability of AI‑driven applications.
• Collaborate with stakeholders to translate business requirements into AI solutions.

• Experience with multi‑agent orchestration frameworks and advanced AI systems.
• Exposure to Azure cloud AI services and enterprise AI architecture.
• Knowledge of AI governance, monitoring, and evaluation frameworks.