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# Java FullStack with GEN AI

- **Company:** Quantum World Technologies Inc
- **Location:** Charlotte, NC, United States
- **Salary:** $114,525.0 - $131,165.0
- **Contract:** Temporary to permanent
- **Skills:** Java (Programming Language), Spring Security, Agile Methodology, Artificial Intelligence, Amazon Web Services, Application Performance Management, Microsoft Azure, Code Review, DevOps, OAuth, Cloud Services, JSON Web Token, TypeScript, Enterprise Software Applications, Chatbots, Modern Ui, Spring Cloud, ReactJS, Large Language Models, Prompt Engineering, Spring-boot, Generative AI, Backend, AI Platforms, AngularJS, Restful APIs, Microservices
- **Published:** August 8, 2026
- **Apply:** https://www.careerjet.com/jobad/usf7999ceb97fa38a30a8f06392824ca27

## About the Role

We are seeking an experienced Java Full Stack Engineer with Generative AI (GenAI) expertise to join our engineering team. The ideal candidate will have strong experience in designing and developing scalable enterprise applications using Java, Spring Boot, microservices, and modern frontend technologies while integrating AI-powered capabilities using Large Language Models (LLMs) and GenAI frameworks.

## Description

You will work closely with architects, product owners, AI engineers, and business stakeholders to build intelligent, cloud-native applications that enhance user experience and automate business processes. Key Responsibilities

 * Design, develop, and maintain scalable full-stack applications using Java, Spring Boot, Microservices, and Angular/React.
 * Develop RESTful APIs and backend services for enterprise applications.
 * Build responsive, modern UI components using Angular or React with TypeScript.
 * Integrate Generative AI capabilities into enterprise applications using LLMs.
 * Develop AI-powered features such as intelligent search, document summarization, chatbots, content generation, and workflow automation.
 * Implement Retrieval-Augmented Generation (RAG) solutions using vector databases.
 * Work with AI frameworks such as LangChain, Spring AI, LangGraph, or Semantic Kernel.
 * Consume AI services from OpenAI, Azure OpenAI, Google Vertex AI, or AWS Bedrock.
 * Design prompt engineering strategies and optimize LLM performance.
 * Develop secure authentication and authorization using OAuth2, JWT, and Spring Security.
 * Collaborate with DevOps teams for CI/CD pipelines and cloud deployments.
 * Participate in code reviews, architecture discussions, and Agile ceremonies.
 * Troubleshoot production issues and optimize application performance.


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