3 publicaciones de empleo destacadas de qa engineer en coyoacán, dif (¡Están contratando!)

AI Automation QA#
WTW —Ciudad de México, CDMX
- Tiempo completo
- DevOps
- Análisis de datos
- Python
Lead Automation Tester in Java
EPAM Systems, Inc. —Ciudad de México, CDMX
- Inglés
- Java
- JavaScript
- Vacaciones adicionales o permisos con goce de sueldo
11d
Automation Tester in Java
EPAM Systems, Inc. —Ciudad de México, CDMX
- Inglés
- Java
- JavaScript
- Vacaciones adicionales o permisos con goce de sueldo
11d

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AI Automation QA#

WTW -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo

Cualificaciones

Derecho
DevOps
Análisis de datos
Respuesta a incidentes
Garantía de calidad
Python

Descripción completa del empleo

Description

The Automation QA Engineer defines, implements, and continuously improves quality assurance practices for AI enabled and agent based solutions. The role ensures systems meet agreed standards for accuracy, reliability, performance, safety, and compliance, and supports operational readiness through automated evaluation and monitoring.

The role:

Definition and execution of testing and quality assurance strategies for AI enabled workflows
Continuous evaluation and monitoring of system behavior in production environments
Contribution to auditability, risk management, and continuous quality improvement
Define quality criteria and testing strategies for agent workflows, covering accuracy, latency, safety, compliance, and operational risk
Build automated evaluation harnesses to assess agent performance, including hallucination rates, tool misuse, policy violations, and task success
Implement continuous production monitoring to detect anomalies, quality degradation, and emerging safety concerns
Develop and maintain automated test suites using Playwright for UI testing and custom scripts for API and workflow validation
Apply LLM evaluation frameworks to assess output quality, regression, and system drift over time
Produce and maintain dashboards and reports that communicate quality metrics and trends to engineering and stakeholders
Develop and maintain runbooks for common failure modes and contribute to incident response activities
Collaborate closely with developers to improve prompts, tool definitions, and workflow designs based on test results
Ensure testing, logging, and monitoring practices align with data privacy, audit, and regulatory requirements

Qualifications

Minimum 3 years’ experience in QA, test automation, or DevOps roles (or 2 years with direct experience testing AI or ML enabled systems)
Strong Python skills for test automation, evaluation harnesses, and basic data analysis
High attention to detail, with a focus on issues that materially impact reliability and user trust
Comfort working with evolving tools, frameworks, and testing practices
Collaborative mindset, using evidence based insights to influence product and engineering decisions
Programming: Python (test automation, evaluation harnesses, data analysis)
UI Automation: Playwright (end‑to‑end workflow testing)
AI Evaluation: Deepeval, RAGAS, Evidently.AI (LLM quality, drift, and regression analysis)
Workflow Testing: API and agent workflow validation using custom scripts
Monitoring: Production quality monitoring and anomaly detection

WTW is an Equal Opportunity Employer

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