QA Engineer

3 semanas atrás

São Paulo, São Paulo, Brasil AgileEngine Tempo inteiro
Overview

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.

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, with options to work from home or in the office.
Details
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Industries: IT Services and IT Consulting
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