Agentic Testing Engineer(Mandarin)

Neusoft; Mountain View (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Neusoft USA is seeking an Agentic Testing Engineer to build next-gen AI-powered testing solutions. The role blends AI Agent development, test automation, software engineering, and system-level debugging.

You will leverage LLMs to automate the full testing lifecycle from planning to reporting. Responsibilities include designing AI Agent-based testing solutions, creating autonomous workflows, and integrating with Jira, Git, CI/CD, and testing tools.

Qualifications

• Bachelor's degree or above in Computer Science, Software Engineering, Electrical Engineering, or a related field.

Responsibilities

• 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, and select and execute appropriate test scenarios.
• Collect test results, logs, and system metrics; analyze failures and identify 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 frameworks, devices, APIs, JIRA, Git/Gerrit, CI/CD, and log analysis tools.

Skills

Software testing

Test automation

LLM applications

AI Agents

Debugging

Automation design

Logs/traces analysis

Education

Bachelor's degree or above in Computer Science or related field

Tools

Git

Linux

REST API

CI/CD

Job description

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.

Key Responsibilities

• 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.

Required Qualifications

• 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.