Enroute

Quality Engineer (QE) - Automation & AI-Driven Testing

🇲🇽 Remote, Mexique Remote Temps plein Publié Avr 21, 2026
Lieu Remote, Mexique
Mode de travail Remote
Contrat Temps plein
Langue English
Publié 21 avril 2026
Dernière vérification 27 mai 2026
Contexte JobGrid

Résumé du poste par JobGrid

Quality Engineer (QE) - Automation & AI-Driven Testing at Enroute: Remote, Mexique; Temps plein. This listing is part of JobGrid's Emplois IA à distance depuis des pages carrières. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: Remote, Mexique
  • Role classification: Temps plein
  • Source freshness: checked by JobGrid on 2026-05-27.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and strive to improve it daily. We make things happen. You can trust us. Our Enrouters are always up for a challenge. We ask questions, and we love to learn.

We pride ourselves on having great benefits and compensations, a fantastic work environment, flexible schedules, and policies that positively impact the balance of work and life outside of it. We care about who you are in the office and as an individual. We get involved, we like to know our people, we want every Enrouter to become part of a great community of highly driven, responsible, respectful, and above all, happy people. We want you to enjoy working with us.

We are seeking a Quality Engineer (QE) with strong expertise in test automation and emerging AI-driven testing practices. This role requires a balance between hands-on manual testing and strategic automation development, with a focus on building scalable, maintainable, and intelligent testing solutions.

The ideal candidate will have experience designing and implementing automation frameworks for both UI and API testing, while leveraging modern tools—including agentic AI and LLM-based solutions—to enhance test generation, maintenance, self-healing, and reporting capabilities.