AI Agent Development Intern (For Undergrad Year 3 or above)

This post is offered under HKSTP internship program rticipate in AI Agent development projects, including requirement analysis, technical solution design, development, testing, and deployment. Integrate mainstream large language models and APIs to build Agent applications with RAG (Retrieval-Augmented Generation), tool calling, task orchestration, and structured output capabilities. Build and maintain knowledge bases: collect, clean, vectorize, and index multi-source data (documents, databases, FAQs). Design and develop intelligent AI chatbots for scenarios such as information retrieval, content generation, FAQs, supporting multi-turn dialogue and precise Q&A. Contribute to knowledge graph construction and application: entity-relation extraction, graph queries, and reasoning to enhance structured knowledge representation and retrieval efficiency. Rapidly prototype MVPs (Minimum Viable Products) to validate business value and iterate solutions. Collaborate closely with data analytics platforms and business teams (operations, customer service, content) to translate requirements into deliverable technical features and track usage outcomes. Continuously evaluate large models, Agent frameworks, vector databases, graph databases, and automation tools to optimize system stability, response speed, cost, and accuracy. Prepare technical documentation, user manuals, and test records; ensure account permission management, data security, and privacy compliance. 🎓 Requirements Undergraduate Year 3 or above in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or related fields. Proficiency in at least one programming language (Python, JavaScript/TypeScript) with independent development and debugging skills. Familiarity with REST APIs, databases (SQL/NoSQL), Git, and basic software engineering workflows. Understanding of large language model principles, prompt engineering, RAG, function calling, or common Agent design patterns. Basic knowledge of knowledge graphs (entities, relations, triples, query languages); project experience is a plus. Strong ability to understand requirements and learn quickly, with MVP mindset to validate business value. Solid logical analysis, troubleshooting, and technical documentation skills. Interest in combining AI with business workflows; willingness to explore operations, content, marketing, and data scenarios. Awareness of data security; commitment to using authorized data, accounts, and third-party services only.【任職要求】 大學三年級或以上學歷，資訊工程、軟體工程、人工智慧、資料科學等相關科系優先； 熟練掌握Python、JavaScript/TypeScript中至少一種語言，具備獨立開發和除錯能力； 熟悉REST API、資料庫（SQL/NoSQL）、Git及基本的軟體工程流程； 了解大語言模型原理、Prompt Engineering、RAG、Function Calling或常見Agent設計模式； 了解知識圖譜基本概念（如實體、關係、三元組、圖查詢語言等），有相關專案經驗者優先； 具備較強的需求理解和快速學習能力，能夠以MVP方式驗證業務價值； 具備良好的邏輯分析、問題排查和技術文件撰寫能力； 對AI與工作流程結合有興趣，願意深入理解營運、內容、投放和數據場景； 具備資料安全意識，不使用未經授權的數據、帳號和第三方服務。 編寫技術文件、使用手冊和測試記錄，落實帳號權限管理、資料安全和隱私保護要求。 與數據分析中台及業務團隊（營運、客服、內容等）緊密協作，將業務需求轉化為可交付的技術功能，並追蹤實際使用效果； 設計並開發智慧AI Chatbot，涵蓋資料搜尋、內容生成、FAQ等場景，支援多輪對話與精準問答； 參與知識圖譜的建構與應用，實現實體關係抽取、圖譜查詢與推理，增強知識的結構化表達和檢索效率； 對接主流大語言模型及相關API，開發具備檢索增強生成（RAG）、工具調用、任務編排和結構化輸出能力的Agent應用；