API Agentic Engineer Overview: Join a forward-thinking technology team as an API Agentic Engineer, where you'll be at the forefront of integrating AI-assisted development into complex application environments. This highly technical role calls for an expert in C# and .NET with a strong background in cloud infrastructure, who can champion AI tools like Claude to streamline development workflows while upholding the highest standards of engineering quality. Your contributions will empower teams to accelerate delivery, enhance application maintainability, and ensure rigorous testing and code review practices, all while maintaining control over AI-generated code quality. Required Skills: 8+ years of professional software engineering experience Deep expertise in C# and .NET/.NET Core Extensive experience with Microsoft Azure cloud environment, including API and service deployment Proven ability to review, debug, refactor, and support production applications Skilled in designing, building, and maintaining scalable APIs and service-oriented architectures Extensive knowledge of automated testing practices (unit, integration, end-to-end) Strong understanding of software architecture and modern development workflows Proficient with Git, pull requests, and version control processes Practical experience with AI development tools, particularly Claude and Claude Code, for code generation, analysis, and debugging Excellent troubleshooting skills in complex production environments Ability to mentor junior and mid-level engineers and elevate team technical standards Nice to Have Skills: Experience developing embedded or kiosk applications with hardware integration Knowledge of IoT, peripheral device communication, and remote device troubleshooting Familiarity with multi-agent AI workflows and operational agentic programming strategies Past experience working with cross-cultural or offshore teams, especially in Asia-Pacific regions Preferred Education and Experience: Bachelor's degree in Computer Science, Software Engineering, or related field (Master’s preferred) Prior involvement in AI-assisted development workflows or AI code review projects Proven success leading complex software projects with a focus on quality, innovation, and technical excellence Other Requirements: Ability to work remotely, with an overlap of approximately two hours with the New Zealand team (typically through 6:00 p.m. Eastern) Demonstrated commitment to maintaining high engineering standards, thorough documentation, and knowledge-sharing initiatives Willingness to actively participate in code reviews, mentoring, and ongoing AI-assisted development skill enhancement