AI-Driven QA Engineer for Health Tech Platform

Engg; Menlo Park (CA); Hybrid; USD 130,000 - 140,000; Full time

Benefits offered by this job

Remote-friendly culture

Equity participation

Unlimited vacation

Job summary

Twin Health is seeking an AI Automation QA Engineer in Menlo Park to deliver AI-driven regression testing for our web and mobile applications. You will work with a clinical care-focused team to ensure robust automated coverage across our consumer-facing platform.

Ideal candidates have 3+ years in QA automation, experience with AI-driven testing, and strong programming skills. This hybrid role requires working from the Menlo Park office and collaboration with cross-functional teams.

Qualifications

• Experience testing web UIs and mobile apps (iOS/Android/Flutter).
• Experience developing AI-driven regression automation using Claude or similar models.
• Strong written and verbal communication skills.
• Bachelor's degree in Computer Science or related field.
• 3+ years of QA engineering focused on test automation.
• Proficiency in Java, Python, or JavaScript.

Responsibilities

• Derive end-to-end regression test cases and test plans with stakeholders.
• Design and maintain AI-driven automated regression coverage for web and mobile apps.
• Contribute to evaluation coverage of internally developed models.
• Develop AI-driven testing strategy and automate data generation.
• Collaborate with Developers, PMs, and UX to ensure great user experience.
• Perform other duties as assigned.

Skills

QA testing

AI-driven testing

Web UI testing

Mobile testing

Regression automation

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Playwright

Appium

Selenium

Maestro

SQL databases

JMeter

Locust

Claude or AI models

Job description

Twin Health is seeking an AI Automation QA Engineer in Menlo Park to deliver AI-driven regression testing for our web and mobile applications. You will work with a clinical care-focused team to ensure robust automated coverage across our consumer-facing platform.

Ideal candidates have 3+ years in QA automation, experience with AI-driven testing, and strong programming skills. This hybrid role requires working from the Menlo Park office and collaboration with cross-functional teams.