Jobs → Engineering → Generative AI Developer

About the Role We are looking for a Generative AI Developer with strong Java Full Stack expertise to design and deliver LLM-based enterprise solutions, including RAG architectures and autonomous agent workflows. Key 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 Requirements • 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