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3 часа назад

Principal Experience Engineer (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US/Canada
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 Experience Engineer (AI): Defining and owning the Agentic SDLC system for Experience Engineering to accelerate software delivery with AI with an accent on agentic workflows, tooling, and guardrails. Focus on evolving AI-driven systems to improve engineering speed and guiding implementation across diverse teams.

Location: 100% remote anywhere in the US

Company

hirify.global is a leader in data integrity, providing software and data enrichment products to over 12,000 global organizations.

What you will do

  • Define, build, and own the AI SDLC system, including agentic workflows, tooling, and guardrails for Experience Engineering.
  • Stay ahead of industry trends in agentic SDLC to continuously raise the bar for how software is built.
  • Enable engineers across teams to gain leverage from AI through patterns, examples, and hands-on support.
  • Partner with UX, UI, and QA Principal Architects to translate strategic direction into clear, actionable patterns.
  • Mentor engineers across the organization to improve overall craft and delivery standards.
  • Utilize delivery metrics and quality signals to drive continuous system improvement.

Requirements

  • Must be based in the United States.
  • 8+ years of professional experience across frontend engineering, experience design, and quality.
  • Proven ability to build production-ready interfaces using modern frontend frameworks like React, Vue, or Angular.
  • Strong expertise in automated testing and maintaining quality within CI/CD pipelines.
  • Demonstrated experience using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in a professional setting.
  • Bachelor's degree in Computer Science, Design, or equivalent work experience.

Nice to have

  • Experience with shared patterns, design systems, or component libraries.
  • Experience mentoring engineers beyond a single team.
  • Exposure to observability tools such as LogRocket, Heap, Datadog, or Sentry.
  • Knowledge of backend systems or APIs to support integration and testing.

Culture & Benefits

  • AI-first organization that encourages the use of generative AI to eliminate low-value tasks.
  • Work-from-anywhere culture within a distributed global environment.
  • Strong commitment to career development, growth, and learning.
  • Core values centered on Openness, Determination, Individuality, and Collaboration.

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