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7 дней назад

Principal Engineer & AI Lead, Quality Engineering (AI)

113 100 - 169 700$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Engineer & AI Lead, Quality Engineering (AI): Building scalable test automation infrastructure and AI-driven quality systems for CarMax's in-store applications with an accent on autonomous test generation, self-healing frameworks, and intelligent defect triage. Focus on integrating LLM- and agent-based systems into CI/CD and Quality Engineering workflows, establishing AI governance, and improving predictive quality analytics at enterprise scale.

Location: Remote within the United States. Work location is flexible if approved by hirify.global. Applicants must be authorized to work in the United States on a full-time basis; visa sponsorship is not available.

Annual salary: $113,100–$169,700, with potential bonus and equity eligibility.

Company

hirify.global is a large used-car retailer with more than 250 locations and over 25,000 associates, combining automotive retail with technology-driven customer experiences.

What you will do

  • Lead and mentor organization-wide test automation efforts and establish scalable quality engineering practices.
  • Create test strategies for multiple Agile teams, promote shift-left testing, and improve development workflows.
  • Design testing infrastructure and integrations for regression and integration testing, while managing defect triage and resolution.
  • Architect and productionize AI-driven testing systems, including autonomous test generation, self-healing automation, intelligent defect triage, and predictive quality analytics.
  • Integrate LLM- and agent-based systems, including MCP-based agents, RAG pipelines, and autonomous test agents, into CI/CD and Quality Engineering workflows.
  • Define AI governance, evaluation, privacy, reliability, hallucination-mitigation, and human-validation frameworks, while upskilling engineering teams.

Requirements

  • Bachelor’s degree in Computer Science or a related field with 7+ years of experience, or a master’s degree with 5+ years of experience.
  • 8+ years of Quality Engineering experience with expertise in automation frameworks and modern testing tools.
  • Advanced knowledge of system design, object-oriented concepts, databases, programming fundamentals, HTML, JavaScript or TypeScript, and web services.
  • Production experience architecting and deploying AI/ML or generative AI systems for software quality or testing.
  • Deep knowledge of LLM architectures, agentic frameworks, APIs, prompt engineering, and evaluation methodologies.
  • Current authorization to work full-time in the United States is required.

Nice to have

  • Node, C#, TypeScript, WebDriverIO, Playwright, .NET Core, Azure, REST API testing, and API design.
  • Experience scaling AI agents or copilots in CI/CD and enterprise Quality Engineering pipelines.
  • Experience with RAG pipelines, vector databases, and Python-based ML tooling for testing or quality analytics.
  • Experience applying AI/ML to defect prediction, test prioritization, or coverage optimization.

Culture & Benefits

  • Flexible remote work arrangement subject to company approval.
  • Paid sick, vacation, holiday, bereavement, and other leave, with terms depending on employment classification and tenure.
  • Inclusive workplace with a focus on training, career growth, and diversity.
  • Full-time salaried associates receive paid time away as needed, subject to manager approval.

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