AI QA Engineer

Job Summary

To support a fast-growing startup, the contracted-to-full-time AI-native QA Engineer will automate QA workflows using AI frameworks and tools, focusing on building testing frameworks, analyzing defects, and collaborating with cross-functional teams in a remote environment.

Key responsibilities

• Build AI-based testing frameworks and pipelines to automate the full QA workflow, including test strategy design and execution
• Perform functional, regression, integration, and load testing across agent workflows
• Analyze defects, identify root causes, and collaborate with developers and product managers on release validation

Required qualifications

• 3+ years of QA experience, with 2+ years in QA automation
• Active hands-on usage of LLMs in QA workflows, with real experience in building AI-based QA pipelines
• Strong Python and PyTest skills
• Hands-on experience with SQL (PostgreSQL, ClickHouse)
• Solid understanding of REST APIs, client-server architecture, and web services