AI Engineer

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.

• 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.

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., 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.