AI-native QA Engineer
Remote · United States
Job Summary
QA Engineer role focused on automating the QA workflow with AI-assisted testing using LLMs to design and execute automated tests across functional, regression, integration, and load testing; develop AI-based testing frameworks and pipelines; collaborate with developers, product managers, and R&D to validate releases; contribute to improving QA processes, test coverage, and automation practices. Requires 3+ years of QA experience (2+ in automation), strong Python/PyTest, SQL, REST APIs, CI/CD, and hands-on experience with LLMs in QA workflows; remote-first startup environment with EST timezone alignment.
Required Qualifications
- 3+ years of QA experience
- 2+ years in QA automation
- Hands-on usage of LLMs (GPT, Claude, Llama) in QA workflows
- Strong Python and PyTest skills
- Hands-on experience with SQL (PostgreSQL, ClickHouse)
- Solid understanding of REST APIs, client-server architecture, and web services
- Experience creating and maintaining automated test suites in CI/CD pipelines
- Ability to work independently with complex business logic
- Ability to work in EST timezone
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