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QA Automation Engineer; AI-Assisted Test Development
Job in
Austin, Travis County, Texas, 78716, USA
Listed on 2026-07-08
Listing for:
Productiv Team
Full Time
position Listed on 2026-07-08
Job specializations:
-
Software Development
Software Testing, AI QA / Validation Engineer
Job Description & How to Apply Below
About the role
We are looking for a proactive and adaptable QA Engineer to support the Software Development Lifecycle (SDLC) for a fast-moving product track. This role is ideal for someone who is technically curious, AI-fluent and eager to collaborate closely with developers, product teams and QA leadership. We prioritize adaptability and the ability to extract value from AI-generated output over mastery of any specific tool or framework.
Key Responsibilities- Contribute to quality processes across planning, development, and release stages of the SDLC
- Use AI-assisted development tools to design, generate, validate, and maintain test assets at scale
- Review and critically evaluate AI-generated test output before it enters the repo, catching false positives, coverage gaps, and brittle assertions
- Collaborate with developers, product teams, and QA leadership to define quality standards and communicate risk clearly.
- Think beyond local scripts, understand how test solutions scale from 10 to 10,000 and architect accordingly
- Adapt processes quickly in response to a changing product environment
- Experience in software QA, testing or software development
- Working knowledge of one or more programming languages, including JavaScript, Python, Java, C# or Type Script
- Hands‑on experience with test automation frameworks (Cypress, Playwright or similar) covering API and web UI testing
- Demonstrated ability to work effectively with AI coding assistants and extract reliable, production-ready output
- Strong communication and collaboration skills
- Proactive and curious approach - willing to learn and grow
- Ability to think critically and adapt quickly in a changing environment
- Experience building or improving AI-assisted tooling (prompts, pipelines, generators)
- CI/CD integration of automated test suites
- Familiarity with Agile/Scrum environments
- Quantifiable impact from past QA work (time saved, defect catch rate, coverage improvement)
All our positions are Remote and are available as Full Time Employment or B2B Contracts
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