Junior AI Engineer Backend

BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence. We are looking for motivated Software Engineers with a strong programming and object-oriented foundation to build scalable, production-ready backend applications and AI-powered solutions. This role focuses on backend software development and Generative AI integration, with Java as the primary backend development environment. Candidates with experience in Java, C++, C#, Kotlin, or other object-oriented programming languages are encouraged to apply. Job

Backend Software Development • Develop scalable and production-ready backend applications and services. • Build RESTful APIs and backend services using modern software engineering practices. • Work with relational and NoSQL databases, including SQL-based data management. • Apply object-oriented programming, data structures, algorithms, and software engineering principles to solve technical problems. • Write clean, efficient, maintainable, and reusable code. • Conduct unit testing, integration testing, debugging, and performance optimization. • Participate in code reviews and follow software development best practices. • Collaborate within Agile/Scrum teams throughout the software development lifecycle, including design, implementation, testing, deployment, and optimization. • Create and maintain technical documentation for applications, APIs, and deployment procedures. • Support production deployment, monitoring/observability, CI/CD, security, and performance optimization. • Transition and apply existing programming experience to Java-based enterprise backend development. Generative AI Integration • Develop AI-powered features and applications using modern Generative AI technologies. • Implement RAG pipelines and LLM-powered applications. • Integrate AI models and services into backend applications and APIs. • Work with frameworks such as Spring AI and LangChain4j. • Work with vector databases and AI-related data retrieval technologies. • Apply concepts such as embeddings, chunking, retrieval optimization, and reranking. • Stay current with emerging Generative AI, LLM, and Agentic AI technologies.