AI-Native Staff Engineer
Healthcare analytics and data management company · Remote (US)
- Location
- Remote (US) · Remote
- Salary band
- Band not stated
- Type
- Contract
- Level
- Staff
- Work authorization
- Not stated
Stack
Claude · GitHub Copilot · AI-assisted development · Java · Oracle · PostgreSQL · API design · backend services · frontend development · database design · full-stack development · code review · test automation · refactoring · debugging
About the role
Title: AI-Native Staff Engineer Location: REMOTE 100% Type: Long Term Contract (W2 Contract) Interview: WebEx/Video Job Description: - This role operates within an AI-native delivery model where engineers use Claude to generate large volumes of production-bound code across the full stack, then own, review, and make that code production-ready. - The Staff Engineer (AI) is a senior individual contributor (who also guides a small team) responsible for building production software using AI-native development workflows as part of a small, focused AI-Native team. - This role works closely with other team engineers to rapidly design, implement, test, and iterate on high-quality software. AI Orchestrators (other term we use for AI engineers) are strong engineers who use AI tools as a first-class part of their daily engineering workflow to accelerate development, improve testing, and shorten feedback loops. - This role is *NOT focused on training AI models or building machine learning pipelines. - It focuses on building software efficiently, safely, and at high quality using AI-assisted engineering practices. - AI-Native Software Development 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 to ensure correctness, performance, security, and maintainability. - Application Design & Implementation Design and implement clean, well-structured APIs, services, and application components. - Contribute to scalable backend systems and full-stack solutions as required by the team. - Apply sound engineering judgment to balance speed, quality, and long-term maintainability. - Participate in design discussions and technical reviews within the team. - AI Orchestration & Workflow Execution Orchestrate the effective use of AI tools across development activities, including: - Code generation and refactoring Test creation and validation Debugging and issue analysis Documentation and design artifacts Follow and help refine AI-native engineering standards established by the Tech Lead. - Contribute feedback and improvements to AI-assisted workflows and development practices. - Collaboration & Team Execution Collaborate closely with the AI-Native Tech Architect(s) to implement architectural and engineering best practices. - Work effectively within a small AI-Native team to deliver features end-to-end. - Coordinate with adjacent teams as needed for integration, dependencies, and shared services. - Communicate technical issues and trade-offs clearly to engineering and product stakeholders. Notes: AI-native tooling experience required — Claude, Copilot, or equivalent. Generation spans backend services, frontend components, APIs, workflows, and test code. AI-tooling skills (such as Copilot, Claude) Java Database design (Oracle, PostgreSQL).
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