Procter & Gamble China
Full Stack Software Engineer (AI Agent)
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Guangzhou, Guangdong Province, China
Work mode:
Onsite
Published on:
7 September 2026
What they need
该职位来源于猎聘 Job Description As a Full Stack Software Engineer (AI Agent), you will build AI-powered solutions and AI agents that create business value. You will leverage LLMs, prompt engineering, tool/function calling, RAG, and agent frameworks to develop intelligent applications and bring them into production. Working in an Agile/DevOps team, you will develop backend services, APIs, and web applications, while leveraging AI-assisted development tools throughout the software development lifecycle. Key Responsibilities
- Build and deploy AI-powered applications and AI agents using LLMs, prompt engineering, tool/function calling, and RAG.
- Develop backend services, APIs, and web applications that support AI solutions.
- Integrate AI applications with enterprise platforms and business systems.
- Use AI coding tools (GitHub Copilot, Claude Code, Cursor, etc.) as part of your daily development workflow.
- Contribute to Agile delivery, code reviews, testing, CI/CD, and DevOps practices.
- Collaborate with product, design, testing, and operations teams to deliver business value. Qualifications
- Bachelor’s degree or above in Computer Science, Software Engineering, Information Technology, or a related field.
- Around 3 years of software development experience.
- Proficiency in Java and working knowledge of Python (preferred for AI development).
- Hands-on experience developing AI-powered applications or AI agents, including LLM integration, prompt engineering, function/tool calling, or RAG.
- Proficient with AI coding tools such as GitHub Copilot, Claude Code, Cursor, or similar tools.
- Understanding of microservice architecture and backend development frameworks such as Spring Boot or Spring Cloud.
- Knowledge of SQL and/or NoSQL databases, such as MySQL, PostgreSQL, Redis, MongoDB, or Elasticsearch.
- Familiarity with cloud platforms such as Azure or AWS is a plus.
- Strong problem-solving skills, learning agility, and teamwork mindset.
- Good written and spoken English.
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