Lead AI Native Engineer

Green Key Resources·Lead·On-site · Austin

Posted Oct 18, 2026·greenkeyresources.com

Lead AI Native Engineer📍 Austin, TX - Onsite

This position is responsible for designing and developing backend and systems software for high-performance, production-critical environments. The role has a strong focus on systems architecture, Rust development, APIs, performance, and reliability, with ownership extending from initial design through deployment and ongoing optimization.

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.

Lead AI Native Engineer📍 Austin, TX - Onsite

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.

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