北京-AI测试开发工程师(J101055)
Core
Design, develop, and deploy an AI-intelligent testing platform integrating LLMs and AI Agents to automate test orchestration, script self-healing, and case reuse, while conducting full-link quality assurance for AI-specific scenarios like model output accuracy and robustness.
Role type
Senior IC AI Test Development Engineer
Builds
AI-intelligent testing platforms, automated test frameworks, and AI-specific quality assurance pipelines
Domain
Artificial Intelligence / Software Quality Assurance
Deliverable
production ML models
Required skills
Python/Java/Go, automated testing framework development, LLM testing, prompt engineering, test case generation, model evaluation, AI Agent testing
Preferred skills
AI Agent testing, model benchmarking, test dataset construction, AIGC application, automated fault injection
Technologies
Pytest, Selenium, JMeter, LLMs, AI Agents
Responsibilities
Design and develop AI-intelligent testing platforms; conduct full-link quality assurance including AI-specific model testing; implement LLM-based test automation and defect analysis; participate in technical reviews and risk mitigation; optimize quality metrics and test asset libraries; research and apply frontier AI testing technologies.
Seniority
Senior, hands-on IC