Java AI Engineer

Veriipro; Phoenix (AZ); On-site; USD 100,000 - 130,000; Full time

Job summary

Veriipro is seeking a Senior Java Engineer in Phoenix, Arizona to design and build AI-powered developer tools and performance engineering frameworks. The role focuses on using AI agents to automate software engineering workflows.

The ideal candidate has strong Java skills, experience with performance frameworks, and expertise in AI agent development. Responsibilities include developing tools, frameworks, and integrating AI agents into CI/CD workflows.

Qualifications

• 5+ years of experience in Java development with focus on automation, performance, or productivity tools.
• Strong Java programming skills and experience with performance/resiliency frameworks.
• Expertise in AI agent development using GitHub Copilot Agent Mode and Claude-based models.

Responsibilities

• Design and develop scalable Java tools and frameworks with a focus on application performance.
• Build AI agents using GitHub Copilot Agent Mode and Claude models to automate engineering tasks.
• Integrate AI agents into CI/CD workflows to automate code quality, performance checks, and test coverage.

Skills

Java programming

Performance/resiliency frameworks

AI agent development

CI/CD automation

Microservices architectures

Developer productivity tooling

Problem-solving

Communication

Tools

GitHub Actions

IntelliJ

Job description

We are seeking a Senior Java Engineer to design and build AI-powered developer tools, Agentic workflows, and performance engineering frameworks. This role focuses on creating intelligent AI agents using GitHub Copilot Agent Mode and Claude-based models within modern IDE environments (e.g., IntelliJ) to automate software engineering workflows across CI/CD pipelines, performance testing, and developer productivity tooling.

Key Responsibilities

Java Engineering

• Design and develop scalable Java tools and frameworks with a focus on application performance and resiliency testing.
• Build frameworks and reusable components to shift-left testing and accelerate performance/resiliency validation.
• Develop internal developer platforms and productivity frameworks to enhance engineering efficiency.
• Build and integrate services with microservices architectures and distributed systems.

AI Agent Development

• Design and implement Agentic AI workflows to automate engineering tasks such as code analysis, PR validation, test orchestration, results analysis, and CI/CD operations.
• Build AI agents using GitHub Copilot Agent Mode, Claude models, and other LLMs.
• Develop developer productivity agents within IntelliJ and GitHub environments.
• Create AI-assisted tools for root cause analysis, test generation, and system diagnostics.

CI/CD Automation

• Build and optimize GitHub Actions pipelines for large‑scale mono‑repos and microservices architectures.
• Integrate AI agents into CI/CD workflows to automate code quality, performance checks, test coverage, and release readiness.
• Implement automated validation for:
  • Performance regressions
  • Code quality
  • Test coverage
  • Release readiness

Performance Engineering

• Design frameworks for automated performance testing and continuous performance validation.
• Build tools that integrate performance tests directly into CI/CD pipelines, enabling faster feedback and actionable insights.

Required Qualifications/Skills

• Strong Java programming skills and experience with performance/resiliency frameworks.
• Expertise in AI agent development using GitHub Copilot Agent Mode, Claude-based models, and other LLMs.
• Experience with CI/CD automation using GitHub Actions or equivalent.
• Familiarity with microservices architectures, distributed systems, and performance engineering.
• Experience developing developer productivity tooling inside IDEs such as IntelliJ.
• 5+ years of experience in Java development with a focus on automation, performance, or productivity tools.
• Hands‑on experience building or integrating AI agents for software engineering workflows.
• Strong understanding of modern software development workflows, CI/CD, and DevOps practices.
• Excellent problem‑solving, communication, and collaboration skills.