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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.

חברה בתחום כללי

רמת גן

חברה בתחום כללי

רמת גן
מלאה

We are looking for a talented QA Engineer to ensure the quality and reliability of both traditional software applications and AI/LLM-powered features. The ideal candidate will combine classical software testing methodologies with emerging best practices for testing AI systems. As a QA Engineer, you will play a key role in testing AI-powered systems and applications to ensure they meet the highest standards of quality and performance.
What youll do: Design, execute, and maintain TEST plans for web applications and AI-powered features. Create and maintain automated TEST suites using Python and JavaScript. Develop TEST cases for LLM-based systems, including prompt testing and evaluation. Document bugs, issues, and TEST results clearly and comprehensively. Validate AI model outputs for accuracy, consistency, and safety. Collaborate with developers and AI engineers to improve system quality.

Position Intro:
Earnix is a leading provider of advanced pricing and rating solutions tailored for the insurance and banking industry. Our software empowers actuaries and data scientists within financial companies to make data -driven decisions and optimize pricing strategies. With a commitment to innovation and a deep understanding of the market, Earnix is at the forefront of revolutionizing how financial companies approach pricing and rating.

Requirements:
Youll do It using: 3+ years of proven experience in software QA Strong knowledge of Python and JavaScript. Experience with TEST automation frameworks (e.g Pytest, Jest) Basic knowledge of prompt engineering and LLM evaluation. Hands-on experience with bug tracking systems (e.g. Jira). Strong understanding of API testing, REST principles, and software development lifecycles. Analytical and problem-solving abilities.
Youll excel by: Bringing experience in testing AI/ML systems and familiarity with LLM evaluation metrics. Demonstrating knowledge of version control systems (Git). Applying a basic understanding of Machine Learning concepts in Quality Assurance. Collaborating with cross-functional teams and contributing to high-quality AI software. Having a strong focus on detail and a proactive

This position is open to all candidates.