aitest automationllmci cdqa automationplaywrightsoftware engineeringcomputer use agentsai evaluation
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чёткая лидерская роль с практической инженерной работой в растущем AI-проекте в сфере здоровья выглядит перспективно; культура быстрого исполнения может подойти тем, кому комфортен высокий темп.
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Высокий темпСовременный стекРастущий healthtechПонятная зона ответственности
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Текст:
Hirify AI/Оригинал
TL;DR
Head of Testing and Automation (AI): Building reusable testing infrastructure, automation systems, and AI-assisted verification for a health platform with an accent on release confidence, reproducible evidence, and sensitive-data products. Focus on designing CI/CD-integrated test environments, evaluating browser and computer-use agents, and measuring defects, flaky tests, false alarms, and maintenance effort.
Location: Remote in the USA; applicants must be authorized to work in the US or Canada.
Company
hirify.global is building an AI-powered health platform that combines lab testing, MRI and CT imaging, longitudinal data, and clinical guidance to help members understand and improve their health.
What you will do
Define the testing and automation roadmap with Engineering and Product, prioritizing key workflows and release risks.
Build reusable test infrastructure, repeatable environments, test data, and CI/CD integrations across agreed product surfaces.
Develop AI-assisted approaches for test creation, exploration, maintenance, and failure investigation, including evaluating computer-use agents.
Establish meaningful assertions, reproducible failure evidence, and release criteria that independently verify agent output.
Measure escaped defects, flaky tests, verification time, false alarms, and maintenance effort while supporting adoption through implementation, documentation, and coaching.
Requirements
Strong software engineering experience with hands-on ownership of automation, quality infrastructure, developer tooling, or comparable systems.
Experience making verification reliable in a delivery pipeline and debugging failures across code, data, and infrastructure.
Practical experience building with LLMs or agents and evaluating their outputs.
Technical leadership across teams, with sound judgment about quality, delivery, and adoption tradeoffs.
Experience with browser or computer-use agents, Playwright or similar automation, AI evaluation, and sensitive-data products.
Culture & Benefits
Flexible working hours and a remote work environment.
Competitive salary and benefits package.
Culture focused on ruthless prioritization, member-first product decisions, rapid execution, radical ownership, transparency, and sustained integrity.
Emphasis on clinical precision, data accuracy, quality, clarity, and inclusive collaboration.
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