职责描述
Key Responsibilities:1. Low-code Application & Web DevelopmentDevelop and maintain AI-powered applications and business workflows based on existing platforms and low-code tools, such as Dify and n8n.Configure and optimize workflows, API integrations, and automation processes.Support application testing, troubleshooting, and technical documentation.2. AI Engineering & Agent DevelopmentSupport the design, development, and testing of AI/GenAI solutions, including AI Agents, RAG-based knowledge assistants, and chatbots.Implement prompt engineering, knowledge retrieval optimization, and AI workflow orchestration.Conduct AI performance evaluation, test case design, and response quality analysis.Support the continuous improvement of AI solutions in terms of accuracy, efficiency, and usability.3. Data Engineering, ETL & Business IntelligenceDevelop and maintain data processing and ETL pipelines using Python and SQL.Perform data extraction, transformation, cleaning, and quality checks.Develop and maintain Power BI dashboards and reports to support business analysis and decision-making.Support data modeling, visualization, and reporting automation.Requirements:-Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related field.-Available for an internship of at least 6 months.-English(spoken & written) is a Must-Basic programming knowledge in Python and SQL.-Familiarity with web development technologies, such as HTML, CSS, JavaScript, and RESTful APIs.-Basic understanding of AI/GenAI concepts, including LLMs, Prompt Engineering, RAG, and AI Agents.-Familiarity with data processing, ETL concepts, and data visualization tools.-Experience with Power BI, Dify, n8n, LangChain, or other AI development platforms is a plus.-Knowledge of Git, Docker, or cloud-based development environments is an advantage.-Strong English communication skills, both written and spoken, with the ability to communicate effectively in an international working environment.-Strong analytical and problem-solving skills.-Self-motivated, proactive, and eager to learn new technologies.-Good communication and collaboration skills, with the ability to work with both business and technical stakeholders.-Hands-on mindset with the ability to turn ideas and requirements into working solutions.-Previous internship, academic projects, or personal projects related to AI applications, web development, or data engineering.-Experience building AI chatbots, RAG applications, automation workflows, or Power BI dashboards.-A GitHub portfolio or demonstrable technical projects is a plus