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AI Quality Assurance Specialist
2 weeks ago
Job Summary:
">We are seeking a highly skilled and experienced QA Engineer to join our team. The successful candidate will be responsible for ensuring the reliability, safety, and ethical integrity of our AI platform by crafting advanced testing strategies and automation frameworks.
">Responsibilities:
">- Design and implement comprehensive test strategies for AI agents, platform services, and integrations">
- Develop and maintain automated test frameworks for functional, performance, and security testing">
- Validate AI model behavior, including prompt outputs, bias detection, and explainability">
- Conduct rigorous testing of distributed systems, microservices, and real-time data pipelines">
Requirements:
">- 5–7+ years of experience in QA or Test Engineering">
- Mastery of test automation frameworks (e.g., PyTest, Playwright, Selenium, RestAssured)">
- Strong API testing skills (manual and automated)">
- Experience with performance, load, and high-volume stress testing (e.g., JMeter, k6s, Gatling)">
- Deep understanding of AI/ML model evaluation metrics and methodologies">
- Experience testing distributed systems and microservices architectures">
- Proficiency in data quality validation for AI training and inference workflows">
- Experience with contract testing for microservices">
- Ability to develop test strategies for non-deterministic and adaptive behaviors in AI systems">
- Familiarity with AI model testing tools">
- Experience with test planning, execution, and reporting in agile environments">
- Bachelor's degree in Computer Science, Software Engineering, or a related field">
- Preferred: Certifications in QA Automation, AI/ML Testing, or Ethical AI">
- Additional training in AI safety, fairness, or model validation is a plus">
Benefits:
">- 100% remote work arrangement">
- Opportunity to work on cutting-edge AI projects">
- Collaborative and dynamic work environment">
- Professional growth and development opportunities">
What We Offer:
">Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.
"],