Overview
QA Engineer (EST hours) ID35731 at AgileEngine
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, Tec

📌 QA Engineer (León)
🏢 Agileengine
📍 León