GenAI Test Automation Engineer

Veriipro

Tysons (VA)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Veriipro in Tysons, VA is seeking a Senior GenAI Test Automation Engineer to design AI-powered testing solutions and reusable automation frameworks for scalable software quality checks. You will integrate Generative AI capabilities into software quality processes, lead automation standards, and collaborate with DevOps for CI/CD pipelines, ensuring robust AI-driven testing across projects.

The role requires hands-on experience with LLM-powered agents, Playwright, Karate, and GitHub tools, and a

Qualifications

  • 5+ years of experience in AI development, software engineering, or test automation.
  • Hands-on experience building LLM-powered agents and agentic workflows.
  • Experience using Generative AI tools such as GitHub Copilot and Claude.
  • Strong knowledge of AI-driven test automation, workflow automation, and quality engineering.

Responsibilities

  • Design and implement reusable agentic testing frameworks for automated test generation, maintenance, failure analysis, and defect reporting.
  • Develop AI-powered solutions for requirements validation, test case generation, and quality insights.
  • Build automated reporting solutions by aggregating test results, service data, logs, and defect information.
  • Create AI-based quality gates to validate requirements, acceptance criteria, test coverage, and dependencies.
  • Establish test automation standards, templates, and best practices across teams.

Skills

GenAI / LLM / Agent Development
Automation & Testing
GitHub & DevOps

Tools

Playwright
Karate
GitHub Copilot
GitHub Actions

Job description

We are seeking aSenior GenAI Test Automation Engineer with strong experience in AI development, agentic workflows, and intelligent test automation. The ideal candidate will design AI-powered testing solutions, build reusable automation frameworks, and integrate Generative AI capabilities into software quality processes.

Required Qualifications
  • 5+ years of experience in AI development, software engineering, or test automation.
  • Hands‑on experience building LLM‑powered agents and agentic workflows.
  • Experience using Generative AI tools such as GitHub Copilot and Claude.
  • Strong knowledge of AI‑driven test automation, workflow automation, and quality engineering practices.
  • Experience with GitHub platform, CI/CD workflows, and automation pipelines.
Key Responsibilities
  • Design and implement reusable agentic testing frameworks for automated test generation, maintenance, failure analysis, and defect reporting.
  • Develop AI‑powered solutions for requirements validation, test case generation, and quality insights.
  • Build automated reporting solutions by aggregating test results, service data, logs, and defect information.
  • Create AI‑based quality gates to validate requirements, acceptance criteria, test coverage, and dependencies.
  • Establish test automation standards, templates, and best practices across teams.
Required Technical Skills

GenAI / LLM / Agent Development

  • Experience building LLM‑based agents with tool usage, structured outputs, guardrails, and prompt engineering.
  • Experience designing AI workflows for test generation, analysis, and reporting.

Automation & Testing

  • Strong experience with test automation frameworks such as:
    • Karate (API testing, contract testing, data‑driven testing)
    • Playwright (UI automation, selectors, parallel execution)
  • Knowledge of test strategy, coverage, regression testing, and defect analysis.

GitHub & DevOps

  • Strong experience with:
    • GitHub Copilot
    • GitHub Actions
    • CI/CD automation
    • Pull request checks and workflow integrations
    • GitHub APIs/webhooks
Preferred Skills
  • Experience with microservices architectures.
  • Experience building AI‑assisted engineering tools.
  • Knowledge of cloud platforms, DevOps practices, and Agile methodologies.
Deliverables
  • AI‑powered agentic testing automation framework.
  • GenAI‑driven reporting and quality insights.
  • Automated quality gates integrated into development workflows.
  • Standardized testing guidelines and reusable templates.
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