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4 дня назад

Applied AI Engine Engineer in Test (Content Inspection, Shisa)

Тип работы
fulltime
Английский
b2
Страна
Taiwan
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
Applied AI Engine Engineer in Test (Content Inspection, Shisa): Testing and evaluating Trend Micro virus-scan and advanced threat-scan engines with an accent on C/C++/Perl/Python automation, threat research, and AI-assisted QA workflows. Focus on generating malicious and benign content samples, validating detection accuracy and AI-driven classification logic, and improving coverage through agent-based testing tools.

Location: Taipei, Taiwan

Company

hirify.global develops cloud and enterprise cybersecurity software, including virus-scan and advanced threat-scan engines.

What you will do

  • Test and evaluate the quality of virus-scan and advanced threat-scan engines used across hirify.global projects.
  • Write and review evaluation code using C, C++, Perl, and Python.
  • Analyze emerging threats and research detection challenges.
  • Collaborate with cross-functional teams to design threat-detection patterns, review technical solutions, and deliver scan engines.
  • Create and maintain automation scripts, processes, and systems for testing.
  • Use AI-native tools such as Claude Code, GitHub Copilot, and Cursor to design, automate, and optimize test workflows.

Requirements

  • Bachelor’s or master’s degree in Computer Science or a related field.
  • Experience with C, C++, Perl, or Python.
  • Experience with the Windows operating system.
  • Experience integrating AI tools into QA activities, including test-case generation, log analysis, defect triage, or code review.
  • Experience building repeatable AI-assisted test workflows, including prompt engineering and context management.
  • Good English communication skills required.

Nice to have

  • Experience testing content inspection scenarios, including malicious and benign sample generation and detection-accuracy evaluation.
  • Experience with MCP servers, AI Agent Skills, or other agent-based tools.
  • Experience standardizing AI-assisted QA workflows, documenting practices, and enabling teammates.
  • Exposure to AI-powered detection or classification models and regression testing of their outputs.

Culture & Benefits

  • AI-first QA transformation aligned with hirify.global’s 2026 strategy.
  • Emphasis on experimentation, continuous learning, and applying AI to real-world QA challenges.
  • Encouragement to explore new tools and share knowledge with the team.

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