GenAI Full Stack Developer

Infosys PontoonBloomfield, CT
Hybrid

About The Position

Looking for a Gen AI & 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.

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
  • Minimum 2 to 3 Years of Generative AI / AI-driven solution development
  • 5-8 years overall experience

Nice To Haves

  • Having certification in Gen AI/AI driven solutions is an advantage.

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
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