Назад
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7 дней назад

Agentic QA Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
Canada
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
Agentic QA Engineer (AI): Designing and implementing automated testing and evaluation frameworks for AI agents, LLM-powered applications, and multi-step agentic workflows with an accent on reliability, functional coverage, and failure analysis. Focus on testing tool usage and API integrations, measuring task completion and consistency, and diagnosing hallucinations, incorrect tool calls, and workflow breakdowns.

Location: Toronto, Ontario, Canada

Company

hirify.global is a digital innovation firm that partners with clients to build digital products, modernize technology platforms, and apply AI to business challenges.

What you will do

  • Design testing strategies for AI agents, LLM-powered applications, and agentic workflows.
  • Build automated functional, integration, regression, and end-to-end test frameworks.
  • Develop evaluation pipelines, datasets, scenarios, metrics, and benchmarks for accuracy, reliability, task completion, and consistency.
  • Test agent tool usage, API integrations, multi-step reasoning, and external-system interactions.
  • Identify, reproduce, and troubleshoot hallucinations, incorrect tool calls, unexpected outputs, workflow breakdowns, and production issues.
  • Integrate quality checks into CI/CD and collaborate with AI engineers, developers, product teams, and client-facing engineering teams.

Requirements

  • Professional experience in Software QA, Quality Engineering, SDET, Test Automation, or Software Engineering with a strong testing focus.
  • Proficiency in Python, JavaScript, TypeScript, or another relevant programming language.
  • Experience building automated tests and testing frameworks.
  • Strong understanding of API, integration, regression, and end-to-end testing.
  • Experience debugging applications and investigating complex technical issues.
  • Familiarity with Git, CI/CD pipelines, and modern software development practices.
  • Strong analytical thinking and the ability to design test cases for complex, real-world scenarios.

Nice to have

  • Experience testing LLM-based applications, AI agents, or generative AI products.
  • Familiarity with LangGraph, LangChain, CrewAI, or similar agentic frameworks.
  • Experience with LLM evaluation, prompt testing, model benchmarking, or AI observability.
  • Familiarity with Pytest, Playwright, Cypress, or Selenium.
  • Understanding of hallucinations, nondeterministic outputs, prompt injection, and agent tool-use failures.
  • Experience with cloud platforms, APIs, distributed systems, and production deployments.
  • Previous experience in Agentic Engineering, Forward Deployed Engineering, Applied AI Engineering, or AI product development.

Culture & Benefits

  • Collaborative client-partnership model spanning strategy through execution.
  • Work focused on AI-driven innovation, practical innovation, ownership, transparency, and empowerment.
  • Equal employment opportunity and accommodations for applicants with disabilities.

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