【TW Life】Senior AI Engineer

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：

• 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)
• 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

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走進我們的辦公室，認識工作環境、福利與文化

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