Position : AI-Native Staff Engineer - SN-165009
location : Local- Blue Bell, PA
Duration: 12 months
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) Java Database design (Oracle, PostgreSQL).
