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Senior QA Engineer – AI & Conversational Products

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Radancy

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Location:
Israel

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Category:
IT - Software Development

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Not provided

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Salary:

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Job Description:

We're looking for a Senior QA Engineer who's passionate about quality, thrives in a fast-paced product environment, and wants to ensure the reliability of systems built with Large Language Models (LLMs), conversational agents, and complex backend workflows. You'll be a key voice in shaping how Radancy defines and upholds quality across its talent acquisition platform.

Job Responsibility:

  • Own the end-to-end quality assurance process for features across web, API, and backend services within Radancy's talent platform
  • Design and implement test strategies for LLM-based features and AI agents — ensuring accuracy, consistency, and robustness at scale
  • Build and maintain automated test frameworks covering UI, API, performance, and regression testing
  • Develop comprehensive test plans and test cases that address both functional requirements and edge scenarios unique to AI-driven hiring experiences
  • Partner closely with Product, Engineering, and Data teams to surface quality gaps early in the development cycle
  • Analyze and report bugs with precision, advocating for high-impact fixes that protect candidate and employer experience
  • Participate in release processes, CI/CD pipeline validation, and production monitoring

Requirements:

  • 5+ years of QA engineering experience, with at least 2 years in a senior or lead capacity
  • Hands-on experience testing AI/ML features, LLM-based products, or conversational systems (a plus)
  • Strong proficiency with test automation frameworks (e.g., Playwright, Selenium, Cypress, Pytest)
  • Solid understanding of API testing (REST/GraphQL) and tools like Postman or similar
  • Experience with CI/CD pipelines (GitHub Actions, Jenkins, or equivalent)
  • Ability to think like a user and an engineer — identifying failure modes others miss
  • Excellent communication skills and a collaborative approach to cross-functional teamwork

Nice to have:

  • Experience in HR tech, recruitment technology, or talent acquisition platforms
  • Familiarity with prompt testing, hallucination detection, or LLM evaluation frameworks
  • Knowledge of accessibility and compliance testing (WCAG, ADA)

Additional Information:

Job Posted:
March 21, 2026

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