[Responsibilities] - Agent Design & Prototyping: Define agent architectures (planner, retriever, executor) using frameworks such as LangChain, LlamaIndex, or custom solutions. - LLM Integration: Connect to commercial APIs (OpenAI, Anthropic, Azure OpenAI) and opensource LLMs (gemma, llma3, gpt-oss) - Tool & API Orchestration: Wrap internal and third-party services (CRM, ticketing, data warehouses, RPA) as "tools" that agents can invoke. - Monitoring, Tuning and retrain ML models - Cross-Functional Collaboration: Work with product, data science, DevOps, and business stakeholders to define use-cases and deliver production-ready solutions.
待遇面議
(經常性薪資達 4 萬元或以上)
[Skills/Experience] - Familiar with RMDBS (eg. postgresql/mysql), Python, Flowise. - Familiar with Dify, LangChain or other agent frameworks. - with 2+ years working experience. - Experience working in linux/unix environment. - Basic knowledge about LLM, RAG and MCP.
休假福利:優於勞基法的休假制度 保險福利:勞保、健保、勞退 ◆ 保險類 1. 勞保/勞退 2. 健保 3. 員工團保 ◆ 請 / 休假制度 1. 優於勞基法的年假 2. 生日假 3. 全薪病假 ◆ 獎金/禮品類 1. 三節獎金/禮品 ◆ 休閒類 1. 部門聚餐 2. 零食/飲料供應 3. 舒適的哺乳室空間 ◆ 健康類 1. 健康檢查 ◆ 補助類 1. 婚喪喜慶補助金 2. 生育津貼 3. 員工進修補助/運動補助 4. 住院慰問金 5. 旅遊補助