Agentic Testing Engineer; Mandarin

We are looking for an Agentic Testing Engineer to build the next generation of AI-powered software testing solutions. This role combines AI Agent development, test automation, software engineering, and system-level debugging
.

The ideal candidate can leverage LLMs and AI Agents to automate and optimize the testing lifecycle — from test planning and test case generation to test execution, failure analysis, root-cause identification, regression testing, and reporting
.

• Design and develop AI Agent-based testing solutions to improve testing efficiency, coverage, and quality.
• Build Agentic workflows that can autonomously:
• Analyze product requirements and specifications
• Generate test plans and test cases
• Select and execute appropriate test scenarios
• Collect test results, logs, and system metrics
• Analyze failures and identify potential root causes
• Create and update JIRA issues
• Trigger regression tests and verify fixes
• Generate test reports and quality insights
• Integrate AI Agents with existing testing infrastructure, including test automation frameworks, devices, APIs, JIRA, Git/Gerrit, CI/CD systems, and log analysis tools
  .
• Develop reusable tools, APIs, and automation frameworks to enable Agents to interact with real testing environments.
• Evaluate and improve Agent performance, including accuracy, reliability, consistency, tool-use success rate, and hallucination control
  .
• Develop evaluation datasets and benchmarks for AI-powered testing solutions.
• Apply LLM/RAG technologies to leverage test specifications, historical defects, logs, source code, and testing knowledge.
• Continuously identify opportunities to replace repetitive manual testing activities with AI-driven autonomous workflows
  .
• Collaborate with software developers, test engineers, and technical teams to integrate Agentic testing solutions into existing development and validation processes.

• Bachelor's degree or above in Computer Science, Software Engineering, Electrical Engineering, or a related field
  .
• 2+ years of experience in software testing, test automation, software development, or related engineering roles
  .
• Solid understanding of software testing methodologies, including:
• Test strategy and test planning
• Functional and regression testing
• Stress and stability testing
• Failure analysis and root-cause analysis
• Hands-on experience with LLM applications, AI Agents, or AI-assisted software development
  .
• Understanding of Agent concepts such as planning, reasoning, tool calling, memory, workflow orchestration, and multi-step task execution
  .
• Experience with Git, Linux, REST API, CI/CD
  , and software development practices.
• Strong debugging and problem-solving skills with the ability to analyze logs, traces, test results, and system behavior
  .
• Ability to independently design, implement, debug, and maintain automation solutions.

Client is Google,

You will sign the contract with Neusoft USA, working location is Google office.