Quality Engineer with AI Agentic experience

AllianceIT Inc; México; À distance; MXN 663 000 - 945 000; Plein temps

Avantages offerts par ce poste

100% Remote Work

Hourly rate $31

Résumé du poste

AllianceIT Inc. seeks a QA Engineer specializing in AI agent-driven workflows and data-intensive apps. You will ensure reliability, data integrity, and end-to-end functionality of multi-agent systems on GCP, crafting tests and evaluating AI agents.

Responsibilities include leveraging AI tools to automate test generation, managing golden datasets, and validating performance across Google Cloud services. Remote position from Mexico, collaboration with US clients.

Qualifications

• Proven experience testing AI agent-driven workflows and data-driven applications.
• Hands-on experience with AI agent evaluation frameworks (e.g., Ragas, DeepEval, TruLens, or custom evaluation harnesses).
• Strong hands-on experience in a Google Cloud Platform (GCP) environment.
• High proficiency with BigQuery, Cloud Run, and Cloud Scheduler.

Connaissances

AI agent workflows

AI evaluation frameworks

BigQuery

Cloud Run

Cloud Scheduler

GCP

Outils

Google Cloud Platform (GCP)

Description du poste

This is a remote position to work from Mexico collaborating with US clients.

We offer:

• 100% Remote Work
• Working 40 hours per week
• $31 USD per hour

Title: Quality Engineer with AI Agentic experience

We are looking for a Quality Assurance (QA) Engineer with expertise in testing AI agent-driven workflows and data-intensive applications. In this role, you will be responsible for ensuring the reliability, data integrity, and end-to-end functionality of complex, multi-agent systems built on Google Cloud Platform (GCP). You will also leverage modern AI tools to automate test generation and execution, manage golden datasets, and evaluate AI agent performance.

Required Qualifications:

• Proven experience testing AI agent-driven workflows and data-driven applications.
• Hands-on experience with AI agent evaluation frameworks (e.g., Ragas, DeepEval, TruLens, or custom evaluation harnesses).
• Strong hands-on experience in a Google Cloud Platform (GCP) environment.
• High proficiency with BigQuery, Cloud Run, and Cloud Scheduler