AI Quality Engineer
AI Quality Engineer
About Us:
OrthoFX is a US-based orthodontic technology company headquartered in Fremont, California, founded by industry pioneers with deep expertise in clear aligner innovation.
Driven by our philosophy of “Life, uninterrupted,” we combine advanced technology with a rigorous focus on precision and quality to deliver products that directly impact patient outcomes worldwide.
As a fast-scaling global organization, we offer an environment that values ownership, high standards, and continuous improvement—where your work in quality engineering plays a critical role in building reliable, high-impact solutions.
Role Overview
We are looking for an Automation QA Engineer who is ready to bridge the gap between traditional automation and AI-driven quality engineering. You will not only build robust test frameworks but also leverage AI tools to increase test coverage, reduce maintenance overhead, and accelerate our CI/CD pipeline.
Key Responsibilities
• AI-Enhanced Frameworks: Design and maintain automation frameworks (e.g., Selenium, Playwright) while integrating AI-powered plugins for self-healing locators to reduce flaky tests.
• Generative QA: Utilize Large Language Models (LLMs) and GenAI tools to automatically generate test cases, edge-case scenarios, and synthetic test data.
• Shift-Left Intelligence: Implement AI tools that analyze code changes to predict which tests are most likely to fail, optimizing our test suites for faster feedback.
• Visual Regression: Deploy AI-based visual testing tools (like Applitools or Percy) to detect UI inconsistencies that traditional pixel-matching tools miss.
• Performance Insight: Use machine learning models to analyze system logs and performance metrics to identify bottlenecks before they impact production.
Technical Skills & Qualifications
• Traditional Stack: Proficiency in Java, Python, or JavaScript and experience with frameworks like PyTest, TestNG, or Cypress.
• AI Tooling: Hands-on experience or strong interest in AI testing platforms (e.g., Testim.io, Mabl, or Functionize).
• Prompt Engineering: Ability to use GenAI (ChatGPT, GitHub Copilot) to assist in writing scripts and documenting test plans.
• Data Literacy: Basic understanding of how AI models are trained and validated, specifically for testing AI-integrated features within our own product.
Why OrthoFX?
• Be part of a high-growth US-based healthcare tech company.
• Work on impactful products that touch real lives.
• Collaborative, transparent, and inclusive culture.
• Opportunities to grow and lead as the company scales.