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23 часа назад

AI Automation Engineer

Формат работы
hybrid
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 Automation Engineer (AI Testing/Automation): Building automated testing and evaluation frameworks, pipelines, and datasets for generative AI, predictive AI, and AI-powered developer experience solutions with an accent on model quality, reliability, and performance. Focus on validating AI outputs, analyzing hallucinations and bias, integrating evaluation into CI/CD, and developing scalable responsible AI quality processes.

Location: Vienna, VA, United States; hybrid work model with onsite and remote work.

Company

hirify.global delivers outsourced services and workforce solutions across North America.

What you will do

  • Design, develop, and maintain testing and evaluation frameworks for generative AI, predictive AI, and AI-powered DevEx solutions.
  • Create automated test suites and evaluation pipelines for functional, regression, performance, and scenario-based testing.
  • Analyze AI-generated outputs for defects, hallucinations, bias, inconsistency, reliability, and performance issues.
  • Build test datasets, benchmark scenarios, prompt libraries, and evaluation artifacts.
  • Define and report AI quality metrics, support root-cause analysis, and document test strategies and results.
  • Collaborate with software, AI, and platform engineering teams on AI governance, responsible AI, and DevEx initiatives.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Science, or a related technical field.
  • 3+ years of experience in software testing, quality engineering, test automation, or AI/ML testing.
  • Strong Python programming and scripting skills, with experience building automated test frameworks and pipelines.
  • Experience with APIs, automated integration testing, CI/CD environments, data validation, and defect investigation.
  • Understanding of machine learning, generative AI, large language models, or AI-powered applications.
  • Strong analytical, troubleshooting, communication, and collaborative skills in an agile environment.

Nice to have

  • Experience testing generative AI, LLM, or Retrieval-Augmented Generation systems.
  • Experience with DeepEval, Ragas, LangSmith, Azure AI, GitHub Copilot, OpenAI, Hugging Face, or LangChain.
  • Knowledge of LLM observability, monitoring, traceability, prompt engineering, and benchmark dataset creation.
  • Experience with performance, scalability, reliability, Responsible AI, or AI governance practices.

Culture & Benefits

  • Contract engagement with a 40-hour work schedule.
  • Collaborative work with software engineers, AI engineers, and platform teams.
  • Eligible employees may receive medical, dental, vision, spending account, life insurance, and voluntary plan options.
  • Eligible employees may participate in a 401(k) plan.

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