Senior Agentic AI Engineer(資深Agentic AI工程師)

We're looking for AI Engineers to join our team

AUO is steadily expanding AI applications, continuously pushing boundaries in data science.

As an AI Engineer, you will work on model optimization and have opportunities to engage in academic research, explore new algorithms and technologies, and create innovative applications and solutions.

Responsibilities

1. 企業級 Agentic AI 系統開發與優化負責建置與優化 Agentic AI 平台核心模組,包括使用者上下文管理、長短期記憶體管理機制、工具調用引擎(Tool Calling Engine)及跨模組協作流程。

2. RAG 與知識庫模組研發設計與優化檢索流程(chunking、embedding、retriever),包含 query rewrite、context construction、prompt engineering 等技術,提升跨領域知識召回與回答品質。

3. Agentic AI 系統前後端整合與 API 開發參與平台後端服務、API(REST/SSE/WebSocket)實作與優化,並與前端(Vue/React)協作,完成使用者可視化 Agent 開發環境與平台整合。

4. LLM 問答結果評估機制設計規劃與建立 LLM 回答品質的評估流程,包括自動化測試集、指標設計(faithfulness、consistency、retrieval quality)、模型行為監控與迭代改善機制

5. Enterprise Agentic AI System Development & Optimization:
   Build and optimize core modules of our Agentic AI platform, including user context management, short/long-term memory mechanisms, tool-calling engine, and cross-module collaboration workflows.

6. RAG & Knowledge Base Module Design:
   Design and refine retrieval processes (chunking, embedding, retriever), implement query rewriting, context construction, and prompt engineering to enhance multi-domain knowledge recall and response quality.
7. Full-Stack Integration & API Development:
   Develop and optimize backend services and APIs (REST/SSE/WebSocket), and collaborate with frontend teams (Vue/React) to deliver a visualized Agent development environment and seamless platform integration.
8. LLM Evaluation Framework Design:
   Establish evaluation workflows for LLM response quality, including automated test sets, metric design (faithfulness, consistency, retrieval quality), model behavior monitoring, and iterative improvement mechanisms.

Qualifications

1. 具備 Python、JavaScript 開發能力,能獨立完成中型系統模組。

2. 熟悉 FastAPI 或等效主流後端框架,具備後端 API 設計與實作經驗。

3. 熟悉 Docker 基本操作,能建置與管理開發/部署環境。

4. 具備資料庫操作能力(DBMS),熟悉 SQL 基礎語法;具備 ORM 使用經驗尤佳。

5. 熟悉至少一種 LLM/Agentic 開發框架(如 LangChain),並能設計基本 Agentic Workflows。

6. 具備系統思維能力,能將需求拆解為穩定、可維護的工程化架構。

7. Strong programming skills in Python and JavaScript, capable of independently delivering mid-sized system modules.

8. Experience with FastAPI or similar backend frameworks, including API design and implementation.
9. Familiarity with Docker for environment setup and deployment management.
10. Database proficiency (DBMS), solid SQL knowledge; ORM experience is a plus.
11. Hands-on experience with at least one LLM/Agentic development framework (e.g., LangChain) and ability to design basic Agentic workflows.
12. Strong system thinking skills to break down requirements into stable, maintainable engineering architectures.