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Test Automation Engineer (AI)

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

Текст:
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TL;DR
Test Automation Engineer (AI) (QA Automation): Designing and executing test strategies for automation workflows, low-code applications, and AI agent solutions with an accent on functional, regression, integration, and responsible AI testing. Focus on validating non-deterministic outputs, accuracy, consistency, safe failure behavior, and edge-case handling before release.

Location: Multiple locations; hybrid

Company

hirify.global provides technology advisory, enterprise solutions, managed services, product development, and software development through a global community of specialists.

What you will do

  • Define test strategies and test cases covering functional, regression, integration, and exception scenarios.
  • Test automation workflows, low-code applications, and AI agent outputs against acceptance criteria.
  • Validate AI agents for accuracy, consistency, safe failure behavior, and edge-case handling.
  • Log, triage, and track defects with AI Engineers and the Solution Architect through resolution.
  • Own formal QA sign-off before release and support post-go-live monitoring where required.
  • Contribute quality and defect data to the E2E Summary Dashboard for cross-client reporting.

Requirements

  • Senior-level QA or test engineering experience in automation, low-code, or AI delivery environments.
  • Hands-on experience with Python.
  • Familiarity with Playwright and automated testing with TypeScript.
  • Practical experience testing AI or agentic systems, including non-deterministic outputs and statistically robust validation.
  • Knowledge of test management, defect tracking, and Jira integration.
  • Upper-intermediate English required. Understanding of responsible AI governance, including bias, safety, and escalation behavior.

Nice to have

  • Knowledge of KQL for analyzing outputs and logs in Azure Log Analytics.
  • Experience testing Microsoft Power Platform and Power Automate solutions.
  • Knowledge of Microsoft Copilot Studio and AI agents in the Microsoft ecosystem.

Culture & Benefits

  • Hybrid work across multiple locations.
  • Equal opportunities in recruitment, career development, and leadership.
  • Inclusive environment shaped by people from diverse backgrounds and experiences.

Hiring process

  • Application review followed by a Talent Acquisition interview.
  • Technical interview focused on expertise, problem-solving, and approach.
  • Customer interview may be included, followed by an offer and onboarding.

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