職務說明：

Responsible for developing and maintaining internal enterprise API services to support automation tools such as Power Platform (Power Automate Desktop, Copilot Studio). Tasks include building AI service interfaces, integrating heterogeneous systems, assisting non-IT departments in troubleshooting technical issues within automation workflows, and promoting citizen development to improve overall operational efficiency.

1. At least 2+ years of C# programming experience, with proficiency in .NET Core Web API development and RESTful architecture.
2. Develop and maintain high-availability internal APIs to provide stable endpoints for RPA bots and AI Agents.
3. Assist in deploying and integrating local AI models (e.g., Ollama) and develop AI application interfaces with mechanisms like RAG (Retrieval-Augmented Generation).
4. Familiar with Windows and underlying OS architecture to assist RPA in handling complex desktop application automation integrations.
5. Proficient in Microsoft SQL Server development and performance tuning, with the ability to properly handle API authentication, authorization, and information security.
6. Possess software testing skills (unit testing, integration testing) to ensure continuous delivery and stable operation of API services.
7. Excellent cross-departmental communication skills; able to understand business unit requirements and translate them into reusable technical modules for citizen developers.

負責開發與維護企業內部 API 服務，以支援 Power Platform (Power Automate Desktop, Copilot Studio) 等自動化工具。任務包含建立 AI 服務接口、整合異質系統，並協助非 IT 部門排除自動化流程中的技術障礙，推動企業公民開發以提升整體工作效率。

1. 具有至少二年以上 C# 程式設計經驗，熟悉 .NET Core Web API 開發與 RESTful 架構。
2. 負責開發與維護高可用性的內部 API，提供 RPA 機器人與 AI Agent 穩定呼叫。
3. 協助建置與串接 Local AI 模型（如 Ollama 等），並開發具備 RAG (檢索增強生成) 等機制的 AI 應用接口。
4. 熟悉 Windows 與作業系統底層架構，能協助 RPA 處理複雜的桌面應用程式自動化整合。
5. 熟悉 Microsoft SQL Server 開發與效能優化，並能妥善處理 API 的驗證授權與資訊安全。
6. 具備軟體測試（單元測試、整合測試）能力，確保 API 服務的持續交付與運作穩定。
7. 具備良好的跨部門溝通能力，能理解業務單位需求，將其轉化為可供公民開發者使用的技術模組。

專業能力：

1. Basic knowledge of Python, with an understanding of Large Language Model (LLM) concepts and Prompt Engineering techniques.
2. Familiar with Docker containerization technology, with basic experience in Linux system operations or Kubernetes.
3. Experience in integrating RPA (e.g., Power Automate) or Low-code/No-code platforms is highly preferred.
4. Familiar with Agile development methodologies and DevOps team workflows.
5. Intermediate English proficiency (listening, speaking, reading, and writing).
6. Domain knowledge or background in the manufacturing industry is a plus.

1. 具備 Python 基礎，並了解 LLM 大型語言模型概念與 Prompt Engineering 技巧。
2. 熟悉 Docker 容器化技術，具備 Linux 系統操作或 Kubernetes 基礎經驗。
3. 具備 RPA (如 Power Automate) 或 Low-code/No-code 平台整合經驗者尤佳。
4. 熟悉 Agile 敏捷式開發和 DevOps 團隊工作模式。
5. 具備中等水平的英文聽、說、讀、寫能力。
6. 具有製造業 Know-how 尤佳。