Perform extensive testing including black-box, white-box, security, automation, and performance testing across web, mobile, backend, and distributed systems.
Evaluate AI outputs through repeatable tests and human review. Cover incorrect or unsupported answers, inconsistent results, ambiguous requests, and unusual inputs.
Verification of technical compliance with acceptance criteria, conducting acceptance tests, and monitoring the commissioning and relocation of equipment. Customer support in all project phases.
Implement and monitor statistical process control (SPC) on tester performance and test data to detect drift, excursions, and out-of-control conditions.
- Test and evaluate the performance of subsystems such as AI models and automation unit components used in the automation system in chemical scenarios and make optimization suggestions. Follow up on the software and hardware failures of the automation system in chemical scenarios and provide timely feedback to equipment management colleagues. Collaborate with AI, Automation, and related teams to jointly build a mature automation system platform.
Promote a strong safety, ownership and service culture, and ensure work is planned, reviewed and executed with appropriate risk controls and management oversight.
Stay up to date with the latest advancements in Large Language Models (LLMs) and AIGC technologies, explore innovative quality and engineering efficiency solutions for software testing, and continuously refine them through practical application.