QA ENGINEER (EST HOURS) ID35731

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 HAVES - 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.

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