Key Responsibilities
Design, build, and deploy scalable, production-ready AI applications, bridging solid software engineering with advanced machine learning, often focusing on LLMs, RAG, and MLOps.
Mentor junior engineers and lead architecture for complex systems from data to deployment.
Develop high-quality code that aligns with business objectives, quality standards, and secure development practices.
Collaborate with a global AI engineering team to understand and analyze business requirements.
Execute assigned tasks diligently, ensuring consistent progress.
Work closely with business and technical teams to identify improvements and prioritize user stories.
Provide regular progress updates during daily standup meetings.
Adapt to shifting priorities while maintaining project timelines and momentum.
Essential Qualifications:
Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Applied Mathematics, Statistics, or related fields.
5+ years of experience in software development and machine learning, with expertise in writing and reviewing production-grade Python code and at least 3+ years in AI/LLM engineering.
Strong knowledge of ML/LLM frameworks and libraries (e.g., TensorFlow, PyTorch), with hands-on experience implementing ML/LLM algorithms at scale.
Extensive hands-on experience in building and integrating large language models (LLMs) to significantly enhance the capabilities and effectiveness of AI systems.
Demonstrated expertise in designing and operating distributed, high-throughput, and low-latency system architectures.
★Recruitment Process Notice
• Please note that interview coordination for the next stage will be handled by our offshore Service Hub.
• All interview-related communications — including availability confirmation and interview invitations — will be conducted via email only.
• As phone contact is not available at this stage, kindly check your email regularly (including spam or junk folders) to avoid missing important updates.
其他說明：
本職務面試將分為兩個關卡：
1. 實體coding test實作 (約15分鐘-因網域限制考量需要請您攜帶自己的電腦並確認已安裝Python前來進行測試)，若通過coding test則會接續進行約45分鐘的實體面試 (面試者為HR及hiring manager)
2. 若通過第一關面試，則進行至第二關實體presentation+Q&A，主題將另行提供，此關為全英文報告；presentation完成後會進行30~45分鐘的高階主管面試
★Learn more about Chubb Life Taiwan's culture and workplace
• [開箱影片] 走進我們的辦公室，認識工作環境、福利與文化
• [Podcast] 探索我們如何打造支持成長與創新的職場
Skills Required
- Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Applied Mathematics, Statistics, or a related field.
- At least 5 years of experience in software development and machine learning.
- At least 3 years of experience in AI or LLM engineering.
- Production-grade Python coding and code review experience.
- Strong knowledge of machine learning and LLM frameworks and libraries, such as TensorFlow and PyTorch.
- Hands-on experience implementing machine learning or LLM algorithms at scale.
- Extensive hands-on experience building and integrating large language models.
- Expertise designing and operating distributed, high-throughput, low-latency system architectures.
What We Do
Chubb is the world’s largest publicly traded property and casualty insurance company. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. The company is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb maintains executive offices in Zurich, New York, London, Paris and other locations, and employs 31,000 people worldwide. Additional information can be found at: chubb.com.
