AI Quality Engineer: Automation & Observability Lead

Drvn; Rosario; On-site; ARS 1,800,000 - 3,000,000; Full time

Job summary

Moveo Technologies Corporation seeks an AI Quality Engineer to architect and manage intelligent testing systems for our platform. You will build agentic QA processes, leverage Python test suites, Playwright, GitHub Actions, Jira, Sentry, and Grafana to scale quality across the software lifecycle.

You will collaborate with Backend, DevOps, QA, and Product teams in an on-site Rosario, Argentina environment, ensuring robust automation, data privacy, and regulatory alignment while delivering

Qualifications

• Minimum 3 years of professional experience in software, automation, or platform engineering.
• Advanced Python skills for building robust tools and services.
• Expertise in LLM API implementation and agentic workflows.
• Experience with API orchestration and interfacing with live infrastructure.
• Hands-on CI/CD experience, preferably GitHub Actions.
• SQL knowledge for data validation and integrity checks.

Responsibilities

• Architect and maintain AI-enabled QA workflows and agents across the SDLC.
• Integrate LLM workflows with internal systems via APIs and MCP connectors.
• Engineer AI-driven test lifecycle management with self-healing capabilities.
• Build automated anomaly detection linking performance shifts to issues.
• Develop evaluation frameworks measuring precision, latency, and OPEX.
• Design prompt engineering as code with version control and validation.

Skills

Python

LLM API

GitHub Actions

Playwright

Sentry

Grafana

SQL

API Orchestration

Prompt Engineering

AI Security

Tools

Jira

LangSmith

Promptfoo

DeepEval

Job description

Moveo Technologies Corporation seeks an AI Quality Engineer to architect and manage intelligent testing systems for our platform. You will build agentic QA processes, leverage Python test suites, Playwright, GitHub Actions, Jira, Sentry, and Grafana to scale quality across the software lifecycle.

You will collaborate with Backend, DevOps, QA, and Product teams in an on-site Rosario, Argentina environment, ensuring robust automation, data privacy, and regulatory alignment while delivering