Lead AI QA Engineer - Remote | Biweekly Release Nights

RVS; Colombia; A distancia; COP 120.000.000 - 180.000.000; Jornada completa

Descripción de la vacante

RV Holdings S.A.S. seeks an experienced Lead QA Engineer to own AI/LLM testing, validate agentic workflows, and drive QA maturity in a remote team. You will design test plans, execute manual and automated tests, and partner with development and product to ensure reliable releases.

Excellent knowledge of QA tooling (Jira, TestRail) and data validation (SQL, MongoDB) is required, plus hands-on automation with Playwright, Cypress, or pytest. Strong communication with US stakeholders is essential.

Formación

• Bachelor’s degree in CS/IT or equivalent experience.
• 3+ years of professional QA experience.
• Hands-on experience testing AI agents and LLM-based apps.
• Familiarity with QA tooling, CI/CD, and data testing challenges.

Responsabilidades

• Design and execute test cases for AI agents and agentic workflows.
• Plan, execute, and automate manual and regression tests.
• Lead QA practices and improve test coverage across development.
• Identify, document, and track defects with clear steps.
• Develop and maintain automated tests with Playwright, Selenium, Cypress, or pytest.
• Perform API testing for backend services and integrations.
• Validate data via SQL/MongoDB queries and data investigations.
• Collaborate with devs and product stakeholders to meet acceptance criteria.
• Support biweekly releases, including evening windows for validation.

Conocimientos

QA Testing

AI Testing

English Proficiency

Remote Work

Test Planning

Educación

BSc in CS/IT

Herramientas

Jira

TestRail

SQL

MongoDB

Databricks

Git

CI/CD

Playwright

Selenium WebDriver

Cypress

pytest

Descripción del empleo

RV Holdings S.A.S. seeks an experienced Lead QA Engineer to own AI/LLM testing, validate agentic workflows, and drive QA maturity in a remote team. You will design test plans, execute manual and automated tests, and partner with development and product to ensure reliable releases.

Excellent knowledge of QA tooling (Jira, TestRail) and data validation (SQL, MongoDB) is required, plus hands-on automation with Playwright, Cypress, or pytest. Strong communication with US stakeholders is essential.