> Markdown version of [/jobs/ext/3984122-java-full-stack-developer-ai](https://www.wearedevelopers.com/jobs/ext/3984122-java-full-stack-developer-ai). 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 - AI - **Company:** Whiz Global LLC - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** LangGraph Framework, Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Application Performance Management, HTML5, Unit Testing, Microsoft Azure, Cascading Style Sheets (CSS), Cloud Computing, Code Review, Computer Programming, Databases, Continuous Integration, Relational Databases, Database Schema, Software Debugging, DevOps, PostgreSQL, MySQL, Oracle (Applications), Performance Tuning, Responsive Web Design, Search Technologies, Software Engineering, SQL Stored Procedures, SQL Databases, Systems Integration, Pinecone, Google Cloud, Enterprise Software Applications, LangChain, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Spring-boot, Software Security, Generative AI, Backend, Agentic-AI, Git, Kubernetes, Build Tools, FAISS, Front End Software Development, Restful APIs, Docker, ChromaDB, Web Api, Microservices - **Published:** October 28, 2026 - **Apply:** https://www.dice.com/job-detail/bf041b5a-7e3f-4725-a480-05618f454c86 ## About the Role * 5+ years of experience in Java full-stack development. * Strong programming skills in Java and experience with Spring Boot and Microservices. * Hands-on experience developing frontend applications using React.js. * Strong knowledge of JavaScript, HTML5, CSS3, and REST APIs. * Experience with SQL and relational databases such as PostgreSQL, MySQL, or Oracle. * Practical experience with AI/Generative AI and Large Language Models (LLMs). * Understanding or hands-on experience with Retrieval-Augmented Generation (RAG). * Knowledge of Agentic AI concepts, AI agents, and tool integration. * Experience integrating backend services with external APIs and enterprise systems. * Familiarity with Git, build tools, unit testing, and Agile methodologies., * Experience with LangChain, LangGraph, or similar AI orchestration frameworks. * Familiarity with vector databases such as Pinecone, Chroma, or FAISS. * Experience with prompt engineering, embeddings, and semantic search. * Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. * Experience with Docker, Kubernetes, CI/CD pipelines, and DevOps practices. * Understanding of AI application security, evaluation, and performance optimization. Key Skills Mandatory: Java, Spring Boot, React.js, SQL, Generative AI, RAG, Agentic AI. Preferred: Microservices, REST APIs, LLMs, LangChain/LangGraph, Vector Databases, Cloud, Docker, Kubernetes. ## Description We are seeking an experienced Java Full Stack Developer with strong expertise in Java, React, SQL, and modern AI technologies, including Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI. The ideal candidate will develop scalable enterprise applications, build responsive user interfaces, integrate AI-powered capabilities, and deliver secure, high-performance software solutions., * Design, develop, test, and maintain scalable applications using Java and Spring Boot. * Build responsive and user-friendly frontend applications using React.js, JavaScript, HTML5, and CSS3. * Develop RESTful APIs and microservices to support enterprise applications. * Integrate Generative AI and Large Language Models (LLMs) into existing applications. * Design and implement RAG-based solutions to retrieve relevant information from enterprise data sources. * Develop Agentic AI workflows to automate tasks and support intelligent decision-making. * Write, optimize, and maintain SQL queries, database schemas, and stored procedures. * Integrate frontend applications with backend services, databases, and AI-powered APIs. * Perform unit testing, debugging, code reviews, and application performance optimization. * Collaborate with cross-functional teams to deliver reliable and scalable software solutions. * Follow Agile development practices and participate in the complete software development lifecycle.