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AI Automation QA Engineer

Twin Health - Menlo Park, CA, United States - Hybrid - posted 2026-09-29

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Salary: USD 130,000 - 140,000 / annual

Twin Health is a digital health company applying AI Digital Twin technology to metabolic health, helping people prevent and manage type 2 diabetes and obesity. The company builds dynamic metabolic models for each person using data from continuous glucose monitors, smartwatches, and meal logs, paired with dedicated clinical care teams. Twin has raised over $100 million in funding, including a $53 million Series E in 2025, and is backed by leading venture firms including Sequoia, Sofina, and Temasek. We are seeking an AI Automation QA Engineer to lead comprehensive testing of our web and mobile applications using AI-driven automation techniques. You will work in a fast-paced environment designing and implementing robust end-to-end regression test coverage, collaborating with developers, product managers, and UX designers to ensure an outstanding user experience across our integrated ecosystem. Key responsibilities include: - Collaborating with stakeholders to derive comprehensive end-to-end regression test cases and test plans covering critical application behavior - Designing, implementing, and maintaining AI-driven automated regression test coverage for web and mobile applications - Contributing to evaluation coverage of internally developed models - Developing an AI-driven automated testing strategy, leveraging agentic AI for rapid prompt-driven test generation and test healing - Designing and developing automated data generation to support testing scenarios - Working cross-functionally with developers, product, and design teams This is a hybrid role based in our Menlo Park office. The ideal candidate will have extensive experience in manual testing and AI-driven test automation in fast-paced enterprise or startup environments, with strong expertise in testing complex web and mobile applications and backend systems. REQUIREMENTS: - Bachelor's degree in Computer Science or related field - 3+ years of QA engineering experience focused on test automation - Experience testing both web UIs and mobile applications (iOS, Android, Flutter) for consumer-facing or high-scale applications - Experience developing AI-driven regression automation using Claude or other recent LLMs - Strong programming experience in Java, Python, or JavaScript - Experience with automation tools such as Playwright, Maestro, Appium, or Selenium - Experience with SQL databases - Experience with test data generation - Experience testing REST API backends for consumer-facing or high-scale applications - Experience with automated performance testing tools such as jMeter or Locust - Strong verbal and written communication skills - High-order analytical and critical thinking approach - Must be authorized to work in the U.S.; visa sponsorship is not available PLUS (not required): - Experience building and maintaining evaluations for internal models - Experience validating text and voice conversational agents via tools such as Cekura - Domain experience in healthcare, biosensors, or related areas

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