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Фокус на тестировании ПО и результатов LLM понятен, но ответственность за автоматизацию и повседневный объём задач описаны не до конца.
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Текст:
Hirify AI/Оригинал
TL;DR
AI QA Engineer (AI): Building end-to-end quality assurance processes for software code and AI-generated content with an accent on exploratory testing, automated regression testing, and LLM quality evaluation. Focus on detecting hallucinations, debugging system issues, defining corrective actions, and tracking quality metrics across the software development lifecycle.
Location: United States eligibility is required for FTE roles through valid US identification; the company is headquartered in Silicon Valley.
Company
hirify.global is building a next-generation privacy-first platform for online advertising and helping customers adapt browser, mobile, CTV, and DOOH infrastructure to evolving consumer privacy requirements.
What you will do
Design the overall QA approach, quality processes, test plans, and test cases.
Review system specifications and collaborate with developers, product managers, and cross-functional teams.
Execute manual, exploratory, automated regression, and post-release testing for software code and AI-generated content.
Test and debug LLMs and LLM-derived products, evaluating accuracy and identifying hallucinations.
Report bugs, monitor software development stages, and participate in project, leadership, and client meetings.
Requirements
4+ years of professional experience and a bachelor’s degree in computer science, engineering, or a related field.
Proven experience as a quality assurance tester or in a similar role.
Understanding of testing and debugging LLMs and LLM-derived products.
Experience with project management and QA methodologies, agile frameworks, and regression testing.
Strong organization and discipline in QA testing, debugging, and bug prioritization.
Ability to document and troubleshoot errors, with excellent communication, attention to detail, analytical thinking, and problem-solving skills.
Working knowledge of test management software such as QTest or Zephyr and SQL.
Nice to have
Experience with automated testing tools such as Selenium, QTP, or JMeter.
Knowledge of Java or Python.
Experience in performance testing.
Familiarity with continuous integration tools such as Jenkins or Bamboo.
Valid US identification for FTE roles.
Ability to successfully pass a background screen test.
Culture & Benefits
Work on privacy-first advertising technology designed for major changes in browsers, mobile, CTV, and DOOH platforms.
Collaborate with engineering, product, leadership, and external client teams.
W2 employment includes a pre-employment drug screen and background check; E-Verify participation applies.
Equal employment opportunity and an inclusive, discrimination-free workplace.
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