AI Agent Application Intern

Responsibilities Design and implement AI Agent workflows, including data acquisition, processing, reasoning, and output. Integrate mainstream LLM capabilities into real business workflows. Build reusable prompt systems and tool-calling frameworks. Build data scraping and structured data processing pipelines using APIs, crawlers, spreadsheets, and other data sources. Continuously optimize system stability, generation quality, and operational efficiency. Participate in the design and implementation of other AI Agent application scenarios. Use mainstream LLMs such as ChatGPT and Claude effectively by integrating existing AI capabilities rather than rebuilding from scratch. Requirements Must be based in Guangzhou or Shenzhen, or able to work onsite in Guangzhou / Shenzhen according to team requirements. Understand common architectures such as Agent, RAG, and Tool Calling. Strong interest in AI technologies and ability to quickly turn ideas into usable solutions. Basic engineering ability in Python or Node.js. Able to independently build automation workflows or small systems. Strong structured thinking, problem decomposition ability, self-drive, and learning ability. Strong focus on engineering usability, stability, and scalability. Bachelor’s degree or above; junior, senior, first-year graduate, or second-year graduate students preferred. Nice to Have Experience with data processing tools such as SQL or Pandas. Experience with API integration or web crawling. Practical AI Agent project experience. Experience in content generation, data analysis, or automation workflows.