Staff Software Engineer AI-Native Development
Katalyst Healthcares & Life Sciences
Remote · Blue Bell, PA, US · USA
Agentic fit score: 100/100
- Copilot
**Job Title: AI\-Native Staff Engineer – SN**
**Location: 100% Remote**
**Employment: W2**
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**Role Overview**
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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 and is 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 (another term used 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.
**Key Responsibilities**
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### **1\. 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.
### **2\. Application Design and 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.
### **3\. AI Orchestration and 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.
### **4\. Collaboration and 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.
**Technical Skills and Requirements**
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* **AI\-Assisted Development Tools:** Experience with Claude, GitHub Copilot, or equivalent AI coding tools is required.
* **Programming Language:** Java.
* **Database Design:** Experience with Oracle and PostgreSQL.
* **Software Engineering:** Experience building production\-grade software across backend services, frontend components, APIs, workflows, and test code.
* **AI\-Native Engineering Practices:** Ability to use AI tools effectively for code generation, testing, debugging, refactoring, and documentation, while ensuring production readiness.
**Additional Notes**
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* AI\-tooling experience is required.
* Code generation spans backend services, frontend components, APIs, workflows, and test code.
* The role emphasizes production software engineering using AI\-assisted development practices rather than AI model training or machine learning pipeline development.