Position: Senior Java Developer (AI-Augmented Engineering)

Location: Irving TX / Basking Ridge, NJ – Hybrid 3 days

Duration: 12 + Months

Interview Mode: In-Person

VISA : GC , USC , EAD

NOTE : NEED ONLY LOCAL PROFILE WITH DL 

JD

Key Responsibilities

Core Java Development

• Design, develop, and maintain high-performance, scalable, and secure microservices and enterprise applications using Java 17/21 and the Spring Boot framework.

AI-Assisted Engineering

• Seamlessly integrate AI coding assistants (GitHub Copilot, Claude, Gemini) into the Software Development Life Cycle (SDLC) to write clean code, refactor legacy systems, and generate technical documentation.

Advanced Prompt Engineering

• Formulate, test, and refine advanced prompts (system prompts, few-shot prompting, and chain-of-thought/chained prompting) to generate high-context, syntactically correct, and secure code from Large Language Models (LLMs).

Code Quality & Reviews

• Review both human-written and AI-generated code to ensure adherence to design patterns, security standards, performance benchmarks, and organizational best practices.

Testing & Automation

• Leverage AI tools to rapidly generate robust unit, integration, and regression test suites using JUnit, Mockito, and related frameworks to improve code coverage and reliability.

Troubleshooting & Optimization

• Utilize LLMs to accelerate root-cause analysis, interpret complex stack traces, identify performance bottlenecks, and optimize application performance.

Continuous Learning

• Stay current with evolving AI technologies and modern software engineering practices, while sharing prompt libraries, best practices, and technical knowledge across the development team.

Required Skills & Qualifications

Java & Technical Architecture

• Experience: 5–7 years of professional software development experience using Java 11+ (Java 17 or higher preferred).
• Frameworks: Extensive hands-on experience with Spring Boot, Spring Cloud, and Hibernate/JPA.
• Microservices: Strong understanding of microservices architecture, RESTful API design, and event-driven architectures.
• Databases: Experience with relational databases such as PostgreSQL and MySQL, along with NoSQL databases including MongoDB and Redis.
• DevOps & CI/CD: Hands-on experience with Git, Docker, Kubernetes, and CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI.

AI & Prompt Engineering

AI Tool Expertise

• Daily hands-on experience using GitHub Copilot (or Copilot Chat), Claude, and Gemini to accelerate software development.

Prompt Engineering

• Proven ability to craft effective prompts by providing appropriate context and applying techniques such as:
• System prompting
• Few-shot prompting
• Chained prompting
• Context engineering
• Hallucination reduction strategies

AI Validation & Security

• Strong ability to critically evaluate AI-generated code for:
• Security vulnerabilities (OWASP Top 10)
• Performance issues
• Licensing risks
• Code quality and maintainability

Soft Skills

• Critical Thinking: Ability to question, validate, and improve AI-generated outputs rather than accepting them blindly.
• Adaptability: Growth mindset with a passion for learning emerging AI tools and software development practices.
• Collaboration & Communication: Strong communication skills with the ability to effectively collaborate with both engineering teams and AI assistants.