Project Intern, AI for Investment (Shanghai) (Sep - Dec 2026)

Build AI agents, automated pipelines, and RAG systems that accelerate macro research, market monitoring, and event-driven analysis Develop AI-powered tools to support deal screening, due diligence, comparable analysis, and portfolio company monitoring Develop and maintain internal dashboards, data tools, and analytical workflows for the investment team Structure and automate the ingestion of multi-source data (financial, regulatory, alternative) into retrievable formats for AI-powered workflows Automate research report and investment memo generation using LLM APIs

Degree in Computer Science, AI, Engineering, or a related quantitative field Open to undergraduate, postgraduate, and PhD candidates, with postgraduate or PhD preferred Hands-on experience building AI applications (LLMs, RAG, agentic systems) — through projects, internships, open-source, or similar Fluent in Mandarin and English Note: At least 4 days a week in person. Extensions may be considered based on business needs. Please state your availability (start date, end date) and expected graduation date in your resume/CV. Applications are reviewed on a rolling basis; only successful applicants will be notified via email Ideal Candidate Familiarity with vector search, data pipelines, and LLM tooling (e.g., LangChain, LlamaIndex, or similar) Experience with prompt engineering, evaluation frameworks, or LLM observability Experience with database management, indexing, and information retrieval systems Finance / Economics background or genuine interest in investing We care more about your ability to architect AI systems than write perfect code.