> Markdown version of [/jobs/ext/4583068-java-full-stack-developer-llm-genai](https://www.wearedevelopers.com/jobs/ext/4583068-java-full-stack-developer-llm-genai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Java Full Stack Developer (LLM/GenAI) - **Company:** HAN IT STAFFING, INC. - **Location:** Hanover, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Java (Programming Language), Artificial Intelligence, Microsoft Azure, Information Leak Prevention, NoSQL, Object-Oriented Software Development, OpenShift, Open Web Application Security, OpenAI, SQL Databases, Pinecone, Enterprise Software Applications, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Spring-boot, Llamaindex, Generative AI, Git, AngularJS, Kubernetes, FAISS, Front End Software Development, Claude, Google Gemini, Restful APIs, Docker, Jenkins, ChromaDB, Microservices - **Published:** November 5, 2026 - **Apply:** https://www.thejobnetwork.com/job/6e11de35-bb20-45e3-b3e0-2ba3d7a9a5d3/java-full-stack-developer-llmgenai ## About the Role * 7 years of experience in Java Full Stack Development. * Strong experience with Java 8/11/17 , OOP, Spring Boot, Microservices, REST APIs. * Frontend experience with React.js or Angular. * Experience with LLMs, RAG, Prompt Engineering, and AI API integration (OpenAI, Azure OpenAI, Claude, Gemini). * Hands-on experience with LangChain/LangGraph/LlamaIndex and Vector Databases (Pinecone, FAISS, ChromaDB). * Knowledge of AI security, including Prompt Injection, Data Leakage, Hallucinations, and OWASP Top 10 for LLMs. * Experience with Git, Jenkins CI/CD, Docker, Kubernetes/OpenShift, and SQL/NoSQL databases. * Strong problem-solving and communication skills. ## Description * We are seeking an experienced AI Java Full Stack Developer with expertise in Java, Spring Boot, Microservices, LLMs, RAG, and AI application development. The ideal candidate will build scalable enterprise applications by integrating Generative AI capabilities into modern Java-based systems.