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Quality Engineer (AI)

Формат работы
remote
Тип работы
fulltime
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Quality Engineer (Playwright/AI): Designing risk-based test strategies and converting them into automated checks using AI-assisted development workflows with an accent on agentic testing and CI/CD integration. Focus on building reusable AI-powered testing tools and reducing manual effort through high-velocity automation.

Location: Remote

Company

hirify.global is an AI-native product company focused on quality engineering as a discipline to accelerate software delivery and prevent defects.

What you will do

  • Design risk-based test strategies and rapidly convert them into automated coverage using AI-assisted workflows.
  • Develop and maintain automated test suites using Playwright integrated within GitHub CI/CD pipelines.
  • Implement agentic testing workflows that generate and adapt tests using AI models and APIs.
  • Build reusable frameworks, shared libraries, and AI-powered tools to increase authoring velocity across teams.
  • Collaborate with engineers, product managers, and designers to shift quality left and influence design decisions.
  • Drive quality metrics, including automated coverage growth, flakiness reduction, and release confidence.

Requirements

  • Strong software engineering fundamentals and ability to debug code across modern programming languages.
  • Extensive experience with modern test automation frameworks, specifically Playwright.
  • Proven ability to use AI coding agents (e.g., Claude Code) as a primary development partner.
  • Experience building scalable automation frameworks and integrating them into CI/CD pipelines.
  • Knowledge of agentic testing frameworks or LLM API integrations within engineering workflows.
  • Deep understanding of quality engineering principles, risk analysis, and defect prevention.

Nice to have

  • Experience testing AI-powered products, agents, or LLM-based applications.
  • Familiarity with prompt engineering, AI quality assessment, and AI observability.
  • Experience with performance, load, or resilience testing.
  • Experience with test management platforms integrated with Jira.

Culture & Benefits

  • AI-native engineering environment where AI coding agents are core to the development process.
  • Automation-first culture that views quality as an engineering discipline rather than a gatekeeping function.
  • Collaborative structure with engineers embedded directly within cross-functional product squads.
  • Emphasis on curiosity, adaptability, and a growth mindset toward emerging AI technologies.

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