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# Java Developer (AI-Augmented Engineering)

- **Company:** Indotronix Avani Group
- **Location:** Bernards, NJ, United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $135,200.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Programming Tools, Github, Hibernate (Java), Java Persistence API, Software Engineering, Systems Integration, Spring Cloud, Spring-boot, Free and Open-Source Software, Microservices
- **Published:** October 15, 2026
- **Apply:** https://candidateportal.ceipal.com/job-details/z4yKODpW3S2fSi-mgLm004y27PBiyvQcDfh7HUZQM_4

## About the Role

5-7 years of professional experience in enterprise Java development (Java 11 or higher, Java 17+ preferred).

 - Proven expertise in Spring Boot, Spring Cloud, Hibernate/JPA, and microservices architecture.
 - Strong database knowledge: PostgreSQL, MySQL, MongoDB, Redis.
 - Proficient with Git, Docker, Kubernetes, and CI/CD pipelines (Jenkins, GitHub Actions, or GitLab CI).
 - Daily operational use of AI coding assistants (GitHub Copilot, Claude, Gemini) to drive development efficiency.
 - Demonstrated mastery in prompt engineering, with the ability to create precise prompts and validate AI outputs for logic, security, and compliance.
 - Critical thinker with a growth mindset, excellent collaboration skills, and the ability to communicate effectively with both human teammates and AI tools.

Preferred Skills

 - Experience building or integrating custom AI plugins or internal developer tools.
 - Familiarity with cloud platforms: AWS, GCP, or Azure.
 - Open-source contributions or a portfolio showcasing creative AI use in software development., * Technical Architecture & Java Ecosystem Java 11 or higher Spring Boot Spring Cloud and Hibernate/JPA. Microservices

## Description

Architect, design, and build robust, scalable enterprise Java applications and microservices using Java 17/21 and Spring Boot.

 - Integrate and utilize AI coding assistants (GitHub Copilot, Claude, Gemini) throughout the SDLC to enhance code quality, documentation, and productivity.
 - Develop and refine advanced AI prompts to generate secure, correct, and context-aware code solutions.
 - Review and validate both human and AI-generated code for security, performance, and adherence to best practices.
 - Rapidly generate and automate comprehensive test suites (unit, integration, regression) with AI support to ensure high code coverage.
 - Troubleshoot production issues and optimize performance by leveraging LLMs for faster root-cause analysis.
 - Continuously share AI prompt libraries, new techniques, and insights with the team to drive collective growth and innovation.