QA Automation Engineer: Python & AI Testing

Smart IT Frame LLC; Irving (TX); On-site; USD 95,000 - 125,000; Full time

Job summary

Smart IT Frame LLC is seeking a QA Automation Engineer (Python & AI) in Irving, TX to design and implement scalable automation frameworks. You will build UI tests with Selenium, Playwright, or Cypress and automate API testing using Pytest and Requests.

You will validate AI/ML features, ensure accuracy and safety of AI workflows, and integrate tests into CI/CD pipelines with Jenkins, GitHub Actions, or GitLab CI. SQL data validation and collaboration with dev teams are essential.

Qualifications

• Design scalable Python-based test frameworks.
• API automation using Pytest and Requests.
• SQL data validation and DB testing.
• AI/ML testing with LLM features and safety.

Responsibilities

• Design, develop, and maintain scalable test automation frameworks using Python.
• Develop automated UI tests with Selenium, Playwright, or Cypress.
• Automate REST APIs and microservices validation with Pytest/Requests.
• Create reusable test scripts, utilities, and libraries.
• Execute functional, regression, integration, and end-to-end tests.
• Validate AI/ML and Generative AI applications and workflows.
• Develop AI test strategies for accuracy, hallucination, relevance, and safety.
• Test databases and third-party integrations via SQL.
• Integrate tests into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).
• Analyze failures, root cause analysis, and coordinate with developers.

Skills

Python

Selenium

Playwright

Cypress

Pytest

Requests

SQL

AI testing

Tools

Jenkins

GitHub Actions

GitLab CI

Job description

Smart IT Frame LLC is seeking a QA Automation Engineer (Python & AI) in Irving, TX to design and implement scalable automation frameworks. You will build UI tests with Selenium, Playwright, or Cypress and automate API testing using Pytest and Requests.

You will validate AI/ML features, ensure accuracy and safety of AI workflows, and integrate tests into CI/CD pipelines with Jenkins, GitHub Actions, or GitLab CI. SQL data validation and collaboration with dev teams are essential.