AI Native Engineer

About the Role

The AI Native Engineer will design and develop backend and systems software for high-performance environments, focusing on Rust development and systems architecture. This role involves ownership of the technology stack from design to deployment, ensuring high standards in code quality and performance.

Key Responsibilities

• Design, build, test, and support backend services, APIs, and systems software, with Rust as a primary development language.
• Own significant areas of the technology stack, from architectural decisions and implementation through testing, performance, reliability, and production support.
• Make thoughtful architecture decisions with consideration for scalability, maintainability, security, performance, and operational requirements.
• Help establish and maintain high engineering standards across code quality, testing, code reviews, documentation, and software lifecycle management.
• Develop systems software where reliability, security, efficiency, and consistent behavior are essential to the product.
• Incorporate AI-powered development and agent-based tools into the engineering workflow while maintaining strong ownership of code quality, testing, validation, and technical outcomes.
• Help shape team standards around the responsible and effective use of AI-assisted development tools, including review processes and quality expectations.

Desired Background

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline, or equivalent hands-on industry experience.
• 6+ years of experience developing and delivering backend or systems software in production environments.
• Strong proficiency in Rust, or significant systems-programming experience with C, C++, or Go along with the ability to work effectively in Rust.
• Working knowledge of C++ and Python.
• Solid understanding of backend and systems design, including APIs, distributed and concurrent systems, Linux, reliability, and performance optimization.
• Experience incorporating AI-assisted or agent-based development tools into engineering workflows, with the ability to independently review, test, secure, refine, and take ownership of AI-generated code.