GenAI Full Stack Developer

GenAI Full Stack DeveloperLocation: Bloomfield, CT (Hybrid)Must Haves: 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 applicationsTop 3 Required Skills: Gen AI, Agentic AI and Java Full StackYears of Experience in Each of the Must-Have Skills: Minimum 2 to 3 Years of Generative AI / AI-driven Solution DevelopmentAny Certifications Required: Having Certification in Gen AI/AI Driven Solutions is an Advantage.Summary: 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.Responsibilities:Design and develop enterprise-grade Generative AI solutions using Large Language Models (LLMs) and enterprise dataBuild and implement RAG-based architectures and agentic / multi-agent workflows for intelligent automationDevelop scalable backend services using Java, Spring Boot, and Microservices architecture and UI using React/AngularIntegrate LLM APIs (Azure OpenAI / OpenAI) and vector databases for knowledge retrieval and semantic searchEnsure secure, scalable, and compliant deployment through cloud-native platforms, containerization, orchestration, and CI/CD pipelinesCollaborate with cross-functional teams to deliver AI-enabled, production-grade solutionsRequired Skills:Strong proficiency in Java, Spring Boot, Microservices architecture, and React/Angular frameworksHands-on experience in Generative AI, LLMs, and RAG-based solution developmentExpertise in prompt engineering and AI orchestration frameworks (LangChain, LangGraph or equivalent)Experience in agentic AI patterns, including multi-agent systems and tool-based integrationKnowledge of vector databases (Pinecone, FAISS, Azure AI Search) and semantic retrieval techniquesExperience with cloud platforms (Azure/AWS), containerization (Docker), orchestration (Kubernetes), and CI/CD pipelinesFamiliarity with Microsoft Copilot Studio for building conversational AI agents and enterprise copilotsHands-on experience with AI-assisted development tools such as GitHub Copilot, Cursor, and other intelligent code editors/IDEsUnderstanding of enterprise AI governance, security, and compliance standardsExperience: 5-8 years overall experience with 2 years in Generative AI / AI-driven solution development