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6 часов назад

Software Development Engineer In Test (AI)

46 400 - 111 090$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
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

AI LLM Engineer (AI Engineering): Leading the development of LLM- and agentic-based testing solutions for software quality validation with an accent on AI technologies. Focus on building intelligent, scalable, and autonomous testing frameworks.

Location: Onsite in either Chicago, IL or Seattle, WA or Grand Rapids, MI or Scottsdale, AZ or Atlanta, GA.

Salary: $46,400 - $111,090

Company

hirify.global is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world.

What you will do

  • Design and implement end-to-end testing frameworks leveraging Large Language Models (LLMs) and agentic workflows.
  • Develop and maintain automated test suites for UI, API, and data layers across multiple platforms.
  • Collaborate with AI/ML engineers to integrate Natural Language Processing (NLP) models into testing pipelines.
  • Build and manage test data pipelines for diverse applications and environments.
  • Create and maintain CI/CD pipelines to support continuous testing and deployment.
  • Lead defect triage, backlog grooming, and root cause analysis sessions.

Requirements

  • Around 1 year of experience working in or supporting AI‑based testing environments, or strong interest with hands‑on exposure through projects or coursework.
  • Working knowledge of at least one programming or scripting language such as Python (preferred), Java, or JavaScript.
  • Basic to intermediate experience with test automation tools like Selenium, Playwright, Cypress, or similar frameworks.
  • Familiarity with API testing concepts and tools such as Postman, RestAssured, or equivalent.
  • Foundational understanding of LLMs and NLP concepts, including prompt engineering and basic model integration; exposure to agentic frameworks (e.g., LangChain, AutoGPT, Semantic Kernel) is a plus.
  • Exposure to Agile/Scrum environments, CI/CD practices, and cloud or container platforms (AWS, Azure, or GCP; Docker/Kubernetes), along with good communication and collaboration skills.

Culture & Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs

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