Assessment Now evaluates these three core areas:
Architecture and Design - 35%
Claude Code - 40 %
Code Review and Governance - 25%
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 AInative development workflows as part of a small, focused AINative team. This role works closely with other team engineers to rapidly design, implement, test, and iterate on highquality software.
AI Orchestrators (other term we use for AI engineers) are strong engineers who use AI tools as a firstclass 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 AIassisted engineering practices.
AINative Software Development
- Build and enhance productiongrade software applications using AIassisted 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 AIgenerated code to ensure correctness, performance, security, and maintainability.
Application Design & Implementation
- Design and implement clean, wellstructured APIs, services, and application components.
- Contribute to scalable backend systems and fullstack solutions as required by the team.
- Apply sound engineering judgment to balance speed, quality, and longterm 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 AInative engineering standards established by the Tech Lead.
- Contribute feedback and improvements to AIassisted workflows and development practices.
Collaboration & Team Execution
- Collaborate closely with the AINative Tech Architect(s) to implement architectural and engineering best practices.
- Work effectively within a small AINative team to deliver features endtoend.
- Coordinate with adjacent teams as needed for integration, dependencies, and shared services.
- Communicate technical issues and tradeoffs 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)JavaDatabase design (Oracle, PostgreSQL).
