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AI Automation Engineer - Contract W2 Position

SunRay Enterprise IncSan Francisco, CA🇺🇸United StatesPosted Oct 22, 2026

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationSan Francisco, CA, United States
PostedYesterday
GitSeleniumGitHub ActionsJenkinsPlaywrightPythonpytestRESTAzureCI/CDAzure DevOps

Job description

Job Title: AI Automation Engineer

Location: San Francisco, CA (Hybrid)

Duration: 6 Month s Contract

Job Description:
Responsibilities:

  • Design and develop Codex-driven testing and automation frameworks for first-party applications.
  • Build reusable AI automation skills, prompts, workflows, agents, utilities, and framework components that can be consistently applied across application teams.
  • Establish a scalable automation foundation covering UI, API, integration, regression, and end-to-end testing.
  • Develop automation solutions using Python and modern testing frameworks such as Playwright, Selenium, and PyTest.

Apply AI-assisted development techniques to accelerate:

  • Test case generation.
  • Test script creation.
  • Code generation and refactoring.
  • Test-data generation.
  • Failure analysis and debugging.
  • Automation maintenance.
  • Create reusable libraries, patterns, templates, and standards instead of application-specific one-off automation.
  • Integrate automated testing into CI/CD pipelines, including Jenkins, GitHub Actions, Azure DevOps, or similar platforms.
  • Develop API automation using REST-based services and appropriate testing libraries/frameworks.
  • Define framework architecture, coding standards, reusable modules, logging, reporting, configuration management, and exception-handling patterns.
  • Improve automation reliability by addressing flaky tests, execution failures, synchronization issues, and environment dependencies.
  • Build effective validation and guardrail mechanisms around AI-generated code and test assets.
  • Collaborate with developers, QA engineers, architects, product teams, and DevOps teams to identify high-value automation opportunities.
  • Conduct code reviews and provide technical guidance on AI-driven automation engineering practices.
  • Maintain technical documentation covering automation architecture, reusable skills, framework standards, and implementation guidelines.
  • Automation engineer building Codex-driven testing frameworks, repeatable skills, and automation foundations for the first-party application layer across the P2P landscape.

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