AI-Native Staff Engineer

Location: Remote (U.S.)Employment Type:

About the Opportunity: ZipStaff is seeking an AI-Native Staff Engineer for a small, focused AI-native delivery team at a healthcare analytics and payment integrity organization. You will use Claude, Copilot, or equivalent tools to generate large volumes of production-bound code across the stack, then own, review, and make that code production-ready. You will also guide a small team. This role is not focused on training AI models or building machine learning pipelines.

What You’ll Do: Build and enhance production-grade software using AI-assisted development workflows. Translate product and technical requirements into working, maintainable software. Use AI tools to accelerate coding, debugging, testing, refactoring, and documentation. Review, validate, and refine AI-generated code for correctness, performance, security, and maintainability. Design and implement clean APIs, services, and application components. Contribute to scalable backend systems and full-stack solutions. Orchestrate AI tools across code generation, test creation, debugging, and documentation. Collaborate with the AI-Native Tech Architect and the small AI-native team to deliver features end-to-end. Guide a small team and communicate technical tradeoffs clearly. Required Qualifications8+ yearsof professional software engineering experience, with recent hands-on production development. Daily use ofAI-native tooling— Claude, GitHub Copilot, or equivalent — to generate, review, and refine production code.

Preferred Qualifications: Experience establishing or refining AI-assisted engineering standards. Healthcare, payment integrity, or regulated industry background. Full-stack delivery including frontend components.