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Artificial Intelligence Engineer (Java/Spring Boot)

BeaconFire Inc. • United States
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AI Summary

BeaconFire seeks a Java developer to build scalable Spring Boot microservices, integrate AI tools (RAG pipelines), and own full-stack development lifecycle. Responsibilities include full-stack development, AI integration, testing, and cloud-native architecture. Requires Java/JavaScript expertise, OOP knowledge, and basic AI/LLM understanding.

Key Highlights
Build scalable Spring Boot microservices with Java 8/17
Integrate AI tools (RAG pipelines with Spring AI/LangChain4j)
Full-stack ownership including testing, documentation, and production deployment

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Key Responsibilities
Develop scalable web applications using Java, Spring Boot, and modern front-end technologies (React.js, Angular, TypeScript)
Implement AI/ML pipelines (RAG) using Spring AI and LangChain4j
Own full development lifecycle: design, implementation, testing, optimization, and production deployment
Technical Skills Required
Java Spring Boot AI/ML (RAG pipelines)

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Benefits & Perks
Visa sponsorship available
E-Verified company

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Nice to Have
Master’s Degree in Computer Science
Experience with Spring AI, LangChain4j, or vector databases
0-1 year of Java development experience

Job Description

BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence. We're looking for a talented Java developer to build scalable, production-ready Spring Boot microservices.

You'll design and implement high-performance web services, develop intelligent tool-using agents, and work confidently with cloud-native architectures and databases. You'll own the development lifecycle, including design, implementation, testing, and optimization.

Job Responsibilities:

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Job Overview
Posted Nov 12, 2026
Employment Full-time
Experience Entry level
Location United States
Category Machine Learning
Company BeaconFire Inc.
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