Looking for a GenAI & Agentic AI Developer with strong Java Full Stack expertise to design and deliver LLM-based enterprise solutions, including RAG architectures and autonomous agent workflows, integrated with scalable, cloud-native applications.
Responsibilities:
· Design and develop enterprise-grade Generative AI solutions using Large Language Models (LLMs) and enterprise data
· Build and implement RAG-based architectures 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:
5-8 years overall experience with 2+ years in Generative AI / AI-driven solution development
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