AI Engineer

BeaconFire Inc.; New Jersey; On-site; USD 90,000 - 130,000; Full time

Job summary

BeaconFire Inc., a Central NJ-based technology consulting firm, seeks a motivated 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 scalable web apps and microservices using Java, Spring Boot, React, and modern AI technologies. Join an Agile team and contribute across the SDLC while advancing AI-driven enterprise solutions.

Qualifications

• Master’s degree in Computer Science or a related field.
• 0–1 year of practical Java development experience.
• Experience with Java, Spring Framework, Maven, React.js, HTML and CSS.
• Familiarity with AI technologies, LangChain4j or Spring AI is a plus.

Responsibilities

• Design, develop, and deploy scalable web applications and microservices using Java and Spring Boot.
• Work with React/Angular front-ends to build modern UI.
• Contribute to AI integration projects using LLMs and RAG techniques.
• Participate in Agile Scrum teams and maintain documentation.

Skills

Java

OOP

SDLC understanding

Agile Scrum

Problem solving

Education

Master's Degree in Computer Science or related field

Tools

Spring Framework

Spring Boot

Maven

React.js

HTML/CSS

Tomcat

RabbitMQ

WebLogic

LangChain4j

Spring AI

LLM integration

Vector databases

Job description

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.