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Senior AI Test Automation Engineer

Job in Long Beach, Los Angeles County, California, 90899, USA
Listing for: MyGeeksGuide Ltd
Full Time position
Listed on 2026-09-12
Job specializations:
  • Software Development
    AI QA / Validation Engineer, AI Engineer (Applied/Software), Software Testing
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Senior AI Test Automation Engineer

Full Time Regular Long Beach, CA, US

4 days ago Requisition

What We Do

is the go-to eCommerce platform for auto care and maintenance. We provide drivers with quality parts at competitive prices and enable them to schedule appointments with trusted mechanics directly through our website. Using world-class design principles and the latest technologies, we deliver a fast, intuitive digital experience backed by our company-owned national distribution network.

With over 1,000 employees worldwide, we are scaling rapidly, fueled by our most recent strategic partnership and $35 million investment. This positions us for the next phase of growth as we continue to empower drivers along their journey.

Our Culture

At , our culture goes beyond our core values of Safety First, Customer Focused, and Commitment to Excellence. We are a performance-driven, data-focused, and fast-paced team where results matter and winning is expected.

  • Hungry & Hardworking:
    We set ambitious goals, measure progress with clear metrics, and hold ourselves accountable to deliver results.
  • Promote from Within:
    We reward top performers with opportunities for growth and advancement.
  • Collaborative & In-Person:
    We believe the best ideas and fastest execution happen face-to-face.
  • High Standards:
    We move quickly, pay attention to details, and dig deep - whether it’s analyzing contracts, aggregating complex scenarios, or building clear, data-driven presentations.
  • No Passengers:
    We value grit, ownership, and the relentless pursuit of results

We are investing heavily in AI-powered engineering — building intelligent agents, integrating LLMs into our platform, and developing MCP (Model Context Protocol) servers to orchestrate context-aware automation across our ecommerce stack. This role sits at the intersection of full-stack engineering and applied AI.

Why This Role Is AI-Forward

This is not a traditional test automation role with AI bolted on. AI is woven into how we write, run, and maintain tests:

  • Every engineer uses AI coding assistants (Claude Code, Claude Cowork, Git Hub Copilot, Cursor) as a daily multiplier, not an optional extra
  • We automate test writing with AI: agents draft Cypress and Playwright specs from requirements, user stories, and code diffs, and engineers review, refine, and own the results
  • We automate test running with AI: intelligent test selection based on change impact, automated failure triage, flaky-test detection, and self-healing locator strategies
  • Our platform exposes MCP servers so LLM-powered tools can query test results, trigger suites, and act on real-time quality signals
  • We treat prompt engineering and token economics as first-class engineering disciplines, reviewed in PRs alongside test code

If you want to build the quality systems that guard experiences millions of customers rely on, and use AI to multiply your coverage and speed, this is the role.

Who You Are
  • The Builder:
    You would rather build a reusable test framework, a custom Cypress command, a Playwright fixture, or a spec generator than write the same test twice, and you design suites that stay stable without you babysitting them.
  • The Troubleshooter: A pipeline goes red and you instinctively pull the trace, replay the network calls, and pinpoint whether it is a product regression, an environment issue, or a flaky locator before anyone else finishes reading the ticket.
  • The AI Enthusiast:
    You treat prompt design and token budgets with the same rigor as test architecture: optimizing context windows, evaluating model trade-offs, and shipping AI-assisted testing workflows that move…
Position Requirements
10+ Years work experience
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