Description

Responsibilities:
Design and develop enterprise-grade Generative AI solutions using Large Language Models (LLMs) and enterprise data
Build and implement RAG-based architecture and agentic / multi-agent workflows for intelligent automation
Develop scalable backend services using Java, Spring Boot, and Microservices architecture and UI using React/Angular
Integrate LLM APIs (Azure OpenAI / OpenAI) and vector databases for knowledge retrieval and semantic search
Ensure secure, scalable, and compliant deployment through cloud-native platforms, containerization, orchestration, and CI/CD pipelines
Collaborate with cross-functional teams to deliver AI-enabled, production-grade solutions

Required Skills:
Strong proficiency in Java, Spring Boot, Microservices architecture, and React/Angular frameworks
Hands-on experience in Generative AI, LLMs, and RAG-based solution development
Expertise in prompt engineering and AI orchestration frameworks (LangChain, LangGraph or equivalent)
Experience in agentic AI patterns, including multi-agent systems and tool-based integration
Knowledge of vector databases (Pinecone, FAISS, Azure AI Search) and semantic retrieval techniques
Experience with cloud platforms (Azure/AWS), containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
Familiarity with Microsoft Copilot Studio for building conversational AI agents and enterprise copilots
Hands-on experience with AI-assisted development tools such as GitHub Copilot, Cursor, and other intelligent code editors/IDEs
Understanding of enterprise AI governance, security, and compliance standards

Experience:
8 years overall experience with 4 years in Generative AI / AI-driven solution development

Key Skills

Education

Bachelor's degree