Job Title: Senior AI Engineer
Location: Remote (U.S.)
Employment Type: Contract (W2 through ZipStaff)
About the Opportunity:
ZipStaff is seeking a Senior AI Engineer (also called an AI Orchestrator) to join a small AI-native engineering team at a leading healthcare analytics organization.
This role is not focused on training AI models or building machine-learning pipelines. You will be a strong software engineer who uses AI tools as a first-class part of the daily engineering workflow to accelerate development, improve testing, and shorten feedback loops — while shipping production-grade software safely and at high quality.
What You'll Do:
- Build and enhance production-grade software applications 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, well-structured APIs, services, and application components.
- Contribute to scalable backend systems and full-stack solutions as required.
- Orchestrate AI tools across code generation, refactoring, test creation, debugging, and documentation.
- Follow and help refine AI-native engineering standards established by the Tech Lead.
- Collaborate with AI-Native Tech Architects to implement architectural and engineering best practices.
- Deliver features end-to-end within a small AI-native team.
- Coordinate with adjacent teams on integration, dependencies, and shared services.
- Communicate technical issues and tradeoffs clearly to engineering and product stakeholders.
Required Qualifications:
- 8-10+ years of professional software engineering experience shipping production applications.
- Proven ability to design and implement APIs, services, and maintainable application components.
- Hands-on experience using AI coding tools as part of a daily engineering workflow (code generation, debugging, testing, refactoring, documentation).
- Strong engineering judgment to review and refine AI-generated code for quality, security, and maintainability.
- Experience contributing to backend and/or full-stack solutions.
- Ability to work independently and collaboratively in a small, fast-iteration team.
- Strong communication skills with engineering and product stakeholders.
- Must be legally authorized to work in the United States without sponsorship now or in the future.
Preferred Qualifications:
- Experience helping define or improve AI-assisted engineering standards and workflows.
- Healthcare, analytics, or regulated-industry software delivery experience.
- Familiarity with modern CI/CD, automated testing, and secure coding practices.
About ZipStaff:
ZipStaff partners with leading organizations to connect skilled technology professionals with high-impact contract opportunities. We focus on quality matches and long-term success.
To apply, please submit your resume highlighting your production software engineering experience and how you use AI tools in day-to-day development. Do not apply if your background is primarily model training or ML pipeline work.