QA Engineer (EST hours) ID35731

Overview QA Engineer (EST hours) ID35731 at AgileEngine. AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17 industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! What you will do Design and execute both automated and manual end-to-end test strategies across all layers of the testing pyramid; Validate AI model performance, including accuracy, confidence thresholds, and fallback behavior; Automate quality processes from data ingestion to extraction and classification, with a focus on speed, repeatability, and resilience; Test and validate integration points between AI components and core business logic; Support and enhance CI/CD pipelines by maintaining test infrastructure and defining quality gates, automated scripts, and synthetic data; Define and track quality metrics that matter to the business (e.g., turnaround time, confidence scores, correction rates); Stay on the cutting edge—continuously learn and apply the latest AI and QA practices to make the impossible possible for our customers. Must-haves Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience; 3 years of experience in QA, Test Engineering, or related roles with a strong grasp of QA methodologies; Solid understanding of SDLC, Agile methodologies, and software quality principles; Hands-on experience with automation frameworks like Pytest, Selenium, Cypress, Postman, etc.; Comfortable working with REST APIs, data pipelines, and backend services; Familiarity with cloud platforms (AWS or Azure) and CI/CD tools; Detail-oriented mindset with a sharp eye for edge cases and a strong sense of ownership; Quick, proactive learner—especially important in the fast-evolving world of AI; Upper-Intermediate English level. Nice to have Experience testing AI/ML systems in production environments; Familiarity with GenAI model evaluation metrics; Experience setting up monitoring/alerting for model drift, workflow failures, or performance issues. Perks and Benefits Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities. A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands. Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. J-18808-Ljbffr

Location: Buenos Aires, Espírito Santo, BR

Posted Date: 9/11/2025