GenAI Full Stack Developer

Job Title: GenAI Full Stack Developer

Location: 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 applications

Top 3 Required skills: Gen AI

Agentic AI

Java Full Stack

Years of experience in each of the must-have skills: Minimum 2 to 3 Years of Generative AI / AI-driven solution development

Any 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 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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