Java AI Engineer

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. #J-18808-Ljbffr