AI QA Engineer

📋 Description

• Design and run quality strategies for the platform's AI-driven features — building evaluation
• Create and maintain test automation for the data intelligence platform, verifying applications
• Collaborate with peers and stakeholders to identify requirements and take solutions from initial
• Contribute to engineering best practices, including code reviews, documentation, continuous
• Experiment with new technologies, platform ecosystems, and AI-assisted approaches to improve
• Share testing expertise and quality engineering best practices to support continuous improvement

🎯 Requirements

• Proficiency in Python, Java, Go, or another modern programming language, with an interest in
• Experience designing, implementing, testing, and operating software applications or platform
• Exposure to testing AI or ML-backed features — evaluation harnesses, prompt and model regression
• Experience with cloud platforms such as AWS, Azure, or Google Cloud, including Kubernetes.
• Experience working with SQL and NoSQL databases, data structures, algorithms, and modern software
• Familiarity with AI-assisted QA automation and cloud networking concepts.

🎁 Benefits

• Flexible time off
• Wellness resources
• Company-sponsored team events
• Innovation: We celebrate those who think critically, like a challenge, and aspire to be
• Growth: We give you the space and support to grow along with us and to contribute to something
• Team: We build each other up and set aside ego for the greater good.