資訊處-Junior AI/GAI開發工程師 Information Technology Division – Junior AI/GAI Engineer

以 Python為主，輔以關聯式與圖資料庫，搭配GAI coding 工具，與團隊完成以下工作：
1. 實作高效率、可擴展與可自動化的 AI/GAI 金融服務架構
2. 實作「知識圖譜 + 大語言模型」之金融應用服務
3. 實作容器化技術 (Docker, K8S) CI/CD開發維運流程
加分項目：
A. GAI/LLM 雲地端服務入門技術，如模型微調、Agentic 開發、RAG
B. AI 建模概念，如使用：機器學習 / 深度學習 / 強化學習技術
C. Graph資料庫 (Neo4j) 開發經驗，如：知識圖譜、Graph-based RAG
D. UI/UX 前端圖 (Graph) 視覺化開發經驗，如 D3.js, GoJS, NetworkX等

Using Python as the primary development language, supplemented by relational and graph databases, and leveraging Generative AI coding tools, you will collaborate with the team to:
1. Design and develop efficient, scalable, and automated AI/Generative AI solutions for financial services.
2. Build and implement financial applications that combine Knowledge Graphs and Large Language Models (LLMs) to deliver intelligent, context-aware services.
3. Develop and maintain containerized environments and CI/CD pipelines using technologies such as Docker and Kubernetes (K8S) to support AI application deployment and operations.
Preferred Qualifications
A. Foundational knowledge of Generative AI and LLM technologies, including:

• Model Fine-Tuning
• Agentic AI Development
• Retrieval-Augmented Generation (RAG)
• Cloud-based or on-premises AI solution deployment

B. Understanding of AI and machine learning concepts, including:

• Machine Learning (ML)
• Deep Learning (DL)
• Reinforcement Learning (RL)

C. Experience with Graph Database development, such as:

• Neo4j
• Knowledge Graph implementation
• Graph-based RAG solutions

D. Experience in graph visualization and frontend development, including tools such as:

• D3.js
• GoJS
• NetworkX
• Other graph visualization frameworks