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.
Required Skills
- Strong programming experience in Python and Java (Spring Boot).
- Hands-on experience with agentic AI frameworks such as LangChain and LangGraph.
- 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.
Responsibilities
- Design and develop agentic AI solutions using LangChain, LangGraph, 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.
Preferred
- 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.