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Centric Software seeks an experienced AI Engineer - QA & Regression to validate cloud-based applications. You will blend traditional QA with AI-driven testing, performing manual, functional, and API tests while building automated regression suites.
The role requires 3–5 years in QA or test automation, strong API testing skills, and familiarity with Agile/Scrum practices. Join a growing, AI-enabled product landscape with cross-functional collaboration.
Centric Software is a global leader, providing an innovative and AI-enabled product-concept-to-commercialization platform for retailers, brands and manufacturers of all sizes. We equip retail, fashion, luxury, footwear, outdoor, home and consumer goods brands with pioneering best-of-breed solutions to plan, design, develop, source, comply, buy, make, price, allocate, sell and replenish products. Our technology powers brands to streamline processes, drive efficiency and operate with confidence in an ever-changing market.
Our story is one of rapid growth, bold ideas and extraordinary opportunities. We're here to challenge the status quo-and we're looking for brilliant people who want to do the same. No matter where you are in the world, this is your chance to be part of something exceptional.
We are seeking an experienced AI Engineer - QA & Regression with 3-5 years of experience in software quality assurance and test automation to support quality validation across our AI-enabled application landscape. This role combines traditional QA practices with AI-driven testing methodologies to help ensure the quality, reliability, and scalability of modern cloud-based applications.
The ideal candidate will have hands-on experience in manual testing, regression validation, API testing, and test automation, along with an interest in leveraging AI-powered tools and automation frameworks to improve testing efficiency and coverage.
Centric Software provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status or genetic information.