Live opening · Posted 7 hours ago

QA Engineer, AI Automation

Wiraa · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 7 hours ago
CompanyWiraa
LocationUnited States (Remote)
SalaryVision, Medical, Dental, 401(k)
Work modeYes
SkillsPython, JavaScript, Java
SourceLinkedin
ListedPosted 7 hours ago

About the role

Description supplied by the original job listing.

About The Company
Twin Health is a pioneering digital health company dedicated to transforming the management and prevention of chronic metabolic diseases such as type 2 diabetes and obesity. By leveraging innovative AI Digital Twin technology, Twin Health creates personalized metabolic models for each individual, utilizing data from continuous glucose monitors (CGMs), smartwatches, meal logs, and other health metrics. This approach enables tailored treatment plans that empower members to achieve significant health improvements, including lowering A1C levels below diabetic ranges, attaining sustainable weight loss, and reducing or eliminating medications. Recognized for its innovation and positive workplace culture, Twin Health has received numerous accolades, including Innovator of the Year by the Employer Health Innovation Roundtable, inclusion in CB Insights’ Digital Health 150, and being named one of Newsweek’s Top Most Loved Workplaces. With substantial funding from leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, Twin Health is rapidly scaling its impact across the United States and globally, aiming to set a new standard of care in metabolic health.
About The Role
We are seeking an experienced AI Automation QA Engineer to join our dynamic team. The ideal candidate will possess extensive manual testing skills combined with expertise in AI-driven test automation. This role involves developing comprehensive regression test coverage for complex web and mobile applications, ensuring the highest quality standards in a fast-paced enterprise or startup environment. The successful candidate will work closely with stakeholders to derive detailed test plans, design and implement AI-enhanced automated testing strategies, and contribute to evaluating and validating internally developed models. Additionally, this role involves automating data generation for testing scenarios, collaborating with developers, product managers, and UX designers to deliver an exceptional user experience, and continuously evolving testing infrastructure to leverage agentic AI capabilities for rapid test generation and healing. The position offers a unique opportunity to be part of a cutting-edge health technology company committed to innovation and impactful solutions in metabolic health.
Qualifications
Bachelor’s degree in Computer Science, Software Engineering, or a related field
Minimum of 3 years of experience in QA engineering with a focus on test automation
Proven experience testing web UIs and mobile applications (iOS, Android, Flutter)
Strong programming skills in Java, Python, or JavaScript
Hands-on experience with automation tools such as Playwright, Maestro, Appium, or Selenium
Solid understanding of SQL databases and experience with test data generation
Experience testing REST API backends for high-scale consumer applications
Familiarity with automated performance testing tools like jMeter or Locust
Experience developing AI-driven regression automation using models like Claude or similar
Excellent verbal and written communication skills
Strong analytical and critical thinking abilities
Experience building and maintaining evaluation frameworks for internal models is a plus
Knowledge of healthcare, biosensors, or conversational agent validation is a plus
Responsibilities
Collaborate with stakeholders to derive comprehensive end-to-end regression test cases and test plans covering critical application functionalities
Design, implement, and maintain robust AI-driven automated regression test suites for web and mobile applications
Contribute to the evaluation and validation of internally developed models, ensuring accuracy and reliability
Develop AI-enabled automated testing strategies, including rapid prompt-driven test generation and test healing techniques
Design and develop automated data generation processes to support testing scenarios
Work closely with developers, product managers, and UX designers to ensure seamless delivery of a high-quality user experience across the integrated application ecosystem
Continuously improve testing infrastructure by integrating new AI tools and methodologies
Participate in troubleshooting, debugging, and resolving automation issues
Document testing processes, results, and improvements for ongoing quality assurance
Perform other duties as assigned to support project goals and team success
Benefits
Competitive annual salary ranging from $130,000 to $140,000 USD
Comprehensive health, dental, and vision insurance fully sponsored by the employer for employees, with 80% coverage for family members
Health Savings Account (HSA) and Flexible Spending Account (FSA) options
401(k) retirement savings plan with company contributions
Remote work flexibility with a collaborative global team
Opportunity for equity participation in a rapidly growing innovative company
Unlimited vacation policy subject to managerial approval
Paid parental leave: 16 weeks fully paid for delivering parents and 8 weeks for non-delivering parents
Access to cutting-edge health technology and participation in impactful projects
Supportive and inclusive work environment fostering professional growth and development
Equal Opportunity
Twin Health is an equal opportunity employer committed to creating a diverse and inclusive workplace. We welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability status, or any other protected characteristic. We believe that diverse perspectives and backgrounds drive innovation and excellence, and we are dedicated to fostering a workplace where everyone can thrive and contribute to our mission of improving metabolic health worldwide.

Work arrangement
Yes

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