עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
Radancy is the leading cloud-based talent acquisition platform, helping the world's top employers attract and hire the right talent faster and more efficiently. As we expand our AI-powered hiring experiences — including intelligent automation, conversational agents, and LLM-driven workflows — quality engineering sits at the heart of how we deliver on that promise.
The Role
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.
What You'll Do
- 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
- What We're Looking For
- 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
- 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)
- Innovative Spirit Innovation leads the way. We have a rich history of developing and delivering what’s new and next while valuing every voice on our team. Together, we’re shaping the future and leading the industry forward.
- Rewarding Impact Work that matters. We strengthen organizations with transformative software that connects people around the world to meaningful careers. This work makes a difference in people’s lives and inspires our team to advance technology with purpose.
- Performance Driven Success drives results. We use data and insights to inform strategy and maximize performance for our customers, all backed by our global teams committed to exceeding expectations with unmatched expertise and support.
- Supportive Teams Collaboration is our backbone. We foster an environment that inspires our team members to deliver industry-defining technology. We empower our teams to learn from each other, grow their skills and create positive change in their work and communities.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
שאלות ותשובות עבור משרת Senior QA Engineer – AI & Conversational Products
כמהנדס/ת QA בכיר/ה ב-Radancy, תהיו אמונים על תהליך אבטחת האיכות מקצה לקצה עבור פיצ'רים בפלטפורמת גיוס הטאלנטים של Radancy, כולל שירותי ווב, API ובאקנד. התפקיד כולל תכנון ויישום אסטרטגיות בדיקה עבור תכונות מבוססות LLM וסוכני AI, בניית מסגרות בדיקה אוטומטיות, ופיתוח תוכניות בדיקה מקיפות כדי להבטיח דיוק, עקביות וחוסן בקנה מידה גדול.
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