1. Collaborate with cross-functional teams to design, develop, and apply Generative AI (GenAI) models, especially large language models (LLMs).
2. Develop and implement insurance products and services, and optimize the efficiency, scalability, and performance of GenAI models.
3. Learn and share the latest AI and Machine Learning (ML) development.
4. Adjust and fine-tune GenAI models, and write user manuals detailing the development process and user instructions.
5. Develop and maintain the model training and deployment process to ensure optimal system performance.
1. 與跨功能團隊合作,設計、開發和實施生成式AI模型,尤其是大型語言模型(LLMs)。
2. 開發和實施保險產品和服務,優化模型的效率、可擴展性和性能。
3. 吸收並分享AI和機器學習技術的最新發展。
4. 調整和微調生成式AI模型,撰寫開發過程和使用說明文件。
5. 開發和維護模型訓練和部署流程,確保系統最佳運作。
Key Responsibilities
-AI Service Development & Integration:
----Design, develop, and maintain enterprise-grade conversational AI applications (Chatbots) using Vertex AI Agent Builder (or Agent Engine).
----Integrate AI services seamlessly into organizational workflows and collaboration platforms like Google Chat / Collaboration Integration.
-Generative AI Core Implementation (RAG):
----Implement and optimize RAG (Retrieval-Augmented Generation) architectures to enhance LLM responses with grounded, real-time corporate knowledge.
----Utilize Vertex AI Search (Multi-Format Indexing) to efficiently index and retrieve data from various sources to feed the RAG system.
----Apply core Natural Language AI and LLM techniques to handle complex language understanding and generation tasks.
-Technical Execution & Standards:
----Drive backend service and API development using Python, ensuring high standards for code quality, performance, and scalability.
----Collaborate closely with data science teams to transition experimental model prototypes into robust, production-ready services.
- Stakeholder Communication:
----Maintain excellent communication with clients and internal cross-functional teams (e.g., Product Managers, UX Designers) to accurately translate business requirements into actionable technical designs and solutions.
Required Skills and Qualifications
- Technical Expertise:
----Proven development experience in Python is mandatory, including familiarity with software development lifecycle and API development.
----Familiarity or prior experience with Google Vertex AI services, including Vertex AI Conversation and RAG-related tooling.
- AI Knowledge:
----Hands-on experience or demonstrated ability to work on Natural Language Processing (NLP) or machine learning projects.
----Understanding of Generative AI, LLMs, and the principles of grounded responses.
- Communication & Language:
----Exceptional interpersonal and verbal communication skills; ability to articulate complex technical concepts clearly to both technical and non-technical audiences.
----Strong English reading and writing proficiency is essential for reading technical documentation and communicating with international teams.
- Problem-Solving:
----Ability to independently analyze, diagnose, and resolve complex technical and integration challenges promptly.