Java Full Stack Developer With AI Integration

💻 Job Title: Java Full Stack Developer with AI Integration 📍 Location: Central New Jersey, USA (Hybrid/On-site) �� Company: BeaconFire Inc. 🕒 Job Type: Full-Time Entry-Level �� Visa Sponsorship: Available (E-Verified Employer) 🔹

BeaconFire is a Central NJ-based technology consulting firm specializing in Software Development, Web Development, and Business Intelligence. We are seeking a motivated Java Full Stack Developer with an interest in AI Integration to build scalable, production-ready applications and intelligent AI-powered solutions. This role offers hands-on experience with modern full-stack technologies, cloud-native architectures, and cutting-edge AI frameworks. 🔹

As a Java Full Stack Developer with AI Integration, you will design, develop, and deploy scalable web applications and microservices using Java, Spring Boot, React, Angular, and modern AI technologies. You will contribute throughout the full software development lifecycle, from planning and design to deployment and optimization, while helping build intelligent applications powered by Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. 🔧

Full Stack Development - Develop scalable web applications using Java 8/17, Spring Boot, SQL, NoSQL, Kafka, RabbitMQ, Angular 2+, React.js, HTML5, CSS, JavaScript, and TypeScript. - Write clean, maintainable, and reusable code following industry best practices. - Conduct testing to ensure application quality, performance, and reliability. - Perform code reviews to maintain consistency and code quality standards. - Participate in Agile Scrum teams and contribute throughout the development lifecycle. - Create and maintain technical documentation for applications, APIs, and deployment procedures. - Deploy and support production applications, including CI/CD pipelines, monitoring, observability, security, and performance optimization. - Stay current with emerging Java and full-stack development technologies. AI Integration - Design and implement RAG (Retrieval-Augmented Generation) pipelines using Spring AI and LangChain4j. - Integrate vector databases to support AI-powered search and retrieval capabilities. - Research and implement best practices for chunking, embeddings, retrieval optimization, reranking, and LLM-powered applications. - Contribute to the development of intelligent agents and AI-driven solutions. ✅