Java full stack Developer with AI Integration

BeaconFire Inc.; New Jersey; On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Visa sponsorship through E-Verified

Competitive compensation

Job summary

BeaconFire Inc. in Central New Jersey is seeking a Java Full Stack Developer with an interest in AI integration to build scalable, production-ready applications and AI-powered solutions.

You will design, develop, and deploy full-stack web applications using Java, Spring Boot, React or Angular, HTML and CSS, with an emphasis on scalable cloud-native architectures and AI frameworks. Join an Agile team to contribute across the SDLC and gain exposure to LLM/RAG-powered systems.

Qualifications

• 0–1 year of practical Java development experience.
• Experience with Java, Spring Framework, and modern front-end frameworks.
• Familiarity with AI concepts and LLM/LLM-powered applications.

Responsibilities

• Design, develop, and deploy scalable web applications and microservices using Java/Spring Boot and React/Angular.
• Write clean, maintainable code and perform testing, reviews, and documentation.
• Participate in Agile Scrum teams and contribute across the full software lifecycle.
• Build and maintain CI/CD pipelines, monitoring, and production support for applications.

Skills

Java

Spring Boot

React.js

Angular

HTML

CSS

Maven

CI/CD

OOP

Education

Master’s Degree in Computer Science or related field

Tools

Tomcat

RabbitMQ

WebLogic

LangChain4j

Job description

Job Title: Java Full Stack Developer with AI Integration

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

• 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.
• Understanding of the Software Development Life Cycle (SDLC).
• Strong foundation in Object-Oriented Programming (OOP).
• Knowledge of data structures such as Collections, Maps, Lists, and Sets.
• Familiarity with relational databases such as MySQL or PostgreSQL.
• Master’s Degree in Computer Science or a related field.
• 0–1 year of practical Java development experience.
• Experience with Spring Framework, Maven, React.js, HTML, and CSS.
• Familiarity with technologies such as Tomcat, RabbitMQ, and WebLogic.
• Basic understanding of AI and Large Language Model (LLM) concepts.
• Experience with Spring AI or LangChain4j.
• Experience building RAG applications or working with vector databases.
• Visa sponsorship available through an E-Verified employer.
• Hands‑on mentorship and real‑world project experience.
• Exposure to modern Java, cloud-native, and AI technologies.
• Opportunity to work on cutting‑edge AI integration and enterprise applications.
• Continuous learning and career growth in a collaborative environment.