Lead AI Native Engineer Overview • The Lead AI Native Engineer will architect and develop high-performance backend and systems software for demanding production environments. • This role combines technical leadership, systems programming, and API development to deliver reliable and scalable solutions. • Collaborate across engineering teams to design, deploy, and maintain robust software systems. • Utilize advanced programming languages, primarily Rust, to ensure optimal performance and security. • Apply AI-assisted development tools to enhance workflows while ensuring code quality and reliability. • Mentor engineers and contribute to establishing best practices for software development and architecture. • Develop expertise in technical domains to make informed architectural decisions and validate system behavior. • Work in a hybrid environment, balancing remote flexibility with on-site collaboration. Lead AI Native Engineer Key Responsibilities & Duties • Architect, implement, test, and maintain backend services, APIs, and systems-level software using Rust. • Take ownership of technical architecture, implementation, testing, and operational reliability of software systems. • Evaluate architectural decisions considering scalability, security, and operational complexity. • Establish engineering practices around code quality, automated testing, and documentation. • Apply AI-assisted tools to accelerate workflows while ensuring code accuracy and reliability. • Contribute to team-wide practices for effective use of AI development tools. • Mentor engineers and collaborate across teams to deliver complete solutions. • Work on security-sensitive systems requiring close coordination between hardware and software. Lead AI Native Engineer Job Requirements • Bachelor's degree in Computer Science, Computer Engineering, or related technical field. • 6+ years of professional experience developing backend or systems software, including production services ownership. • Advanced proficiency in Rust or substantial systems programming experience in C, C++, or Go. • Working proficiency with C++ and Python. • Strong understanding of backend and systems architecture, including APIs, distributed systems, and reliability engineering. • Experience with AI-assisted development workflows and quality controls. • Background in cryptography, cybersecurity, networking, or security-sensitive systems is preferred. • Legally authorized to work in the United States.