QA Engineer
Há 6 horas
Porto Alegre, State of Rio Grande do Sul, Brasil
AgileEngine, LLC.
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Overview QA Engineer (EST hours) – 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 application development and AI/ML, and our people-first culture has earned 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, focusing 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
Must have 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
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 with competitive USD-based compensation and budgets for education, fitness, and team activities
A selection of exciting projects: Work on projects with modern solutions and top-tier clients including Fortune 500 enterprises
Flextime: Flexible schedule with options to work from home or office
Location & Status Seniority level: Mid-Senior level
Employment type: Full-time
Industry: IT Services and IT Consulting
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