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QA Engineer
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Join to apply for the QA Engineer (EST hours) ID35731 role 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.
OverviewWhy 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
Responsibilities- 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.
- 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.
- 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.
- 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, with options to work from home or in the office.
- Mid-Senior level
- Full-time
- IT Services and IT Consulting
Referrals increase your chances of interviewing at AgileEngine by 2x
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