AI-Native Staff Engineer

AI-Native Staff Engineer

Blue Bell, PA – Remote

Must take torc assessment first

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 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).