公司名稱

台灣積體電路製造股份有限公司

工作地點

台灣

專業領域

企業規劃

職別

主管職

職務類型

正職

職務張貼日

2026/03/09

台積公司成立於1987年，率先開創了專業積體電路製造服務之商業模式，自此成為世界領先的專業積體電路製造服務公司。台積公司以領先業界的製程技術及設計解決方案組合支援其客戶及夥伴生態系統的蓬勃發展，以此釋放全球半導體產業的創新。台積公司為534 個客戶提供服務，生產12,682 種不同產品，被廣泛地運用在各種終端市場，例如高效能運算、智慧型手機、物聯網、車用電子與消費性電子產品等。 進一步資訊請至台積公司網站https://www.tsmc.com.tw查詢。

We are seeking a hands-on Engineering Manager / AI Architect to lead and grow our Agentic AI development practice. This is a builder-first role: you will spend the majority of your time architecting and coding production AI agent systems while providing technical leadership, mentorship, and light team management to a small, high-impact engineering team.

You will be at the forefront of designing and deploying multi-agent systems that reason, plan, use tools, and execute complex workflows autonomously. You bring deep expertise in LLM-based application development, a strong engineering foundation, and the interpersonal skills to align cross-functional stakeholders around a coherent AI architecture vision.

職務說明

1. Design and implement end-to-end agentic AI systems, including multi-agent orchestration, tool use, memory management, and reasoning pipelines for production-grade LLM applications.

2. Evaluate emerging agent frameworks and tools; make informed technology selection decisions with documented trade-offs.

3. Prototype novel agent capabilities quickly and iterate from proof-of-concept to production-ready implementations.

4. Define and enforce observability best practices: tracing, logging, and evaluation frameworks for agent behavior monitoring in production.

5. Partner with business users and project managers to translate business requirements into scalable AI agent architectures.

6. Lead and mentor a team of 3–8 AI/ML engineers; conduct code reviews, provide architectural guidance, and foster a culture of engineering excellence.

職務要求

Required:

1. 7+ years of hands-on software engineering experience, with at least 2 years focused on LLM application development or AI systems engineering.

2. Production experience building AI agents or multi-agent systems using agent frameworks and evaluating LLM.

3. Hands-on experience with RAG architectures, vector databases, embedding strategies, MCP tools and agentic AI systems.

4. Strong Python engineering skills; comfortable owning and shipping backend services, APIs, and pipelines from design to production.

5. Strong system design instincts: ability to reason about latency, reliability, cost, and scalability trade-offs for LLM-powered applications.

6. Clear communicator: can explain complex AI architectures to both engineers and business stakeholders.

Preferred:

1. People management experience: prior experience leading or mentoring a team of engineers (even informally as a tech lead).

2. Experience with fine-tuning or RLHF workflows for domain-specific LLM adaptation.

營造一個合乎台積公司核心價值與經營理念的全球共融職場，對於公司未來成功至關重要。台積公司對全球共融職場的承諾，旨在讓每位員工無論性別、年齡、身心障礙、宗教、種族、族群、國籍、政治立場或性傾向，都能將其自身的觀點與經驗帶入工作，促進企業推升獲利、增加生產力並釋放創新。我們致力於創建一個公平無障礙的工作場所。台積公司承諾促進文化共融，讓每一位員工都覺得被重視且有能力為企業使命提供貢獻，並為全球各戶提供卓越服務。