Engineering · Shenzhen · Full-time
AI Agent QA Engineer
Test the Agent as a creator would, covering decisions, interactions, and recovery in real workflows.
Focus areas
- Agent Eval
- Pytest
- UX
What you'll do
- Design functional, compatibility, safety, and UX tests for core Agent capabilities across devices and usage patterns.
- Build test systems for multi-role, multi-turn conversations and workflows in consumer creative products.
- Build a traceable quality evaluation process using manual tests, Pytest automation, adversarial testing, and user feedback.
What we're looking for
- 1–3 years of experience testing AI products, with strong product judgment, user empathy, and rigorous problem-solving.
- Familiarity with RESTful APIs, WebSocket, and mock data, with the ability to validate interfaces using Postman and Pytest.
- Ability to design test cases independently, identify UX issues, and propose practical improvements.
Nice to have
- Experience testing AI content generation, low-code Agent platforms, or consumer creative products.
- Extensive hands-on use of CapCut, Bcut, or Lovart.
- Experience using generative AI to create test cases or analyze defects.