阿里云Alibaba Cloud Intelligence-Forward Deployed Engineer-Hong Kong
社招全职3年以上地点:香港状态:招聘♡ 收藏
工作描述
Qualifications Basic Qualifications 1. Bachelor's degree or above in Computer Science, Software Engineering, Mathematics, or a related field, or equivalent practical abilities; 3+ years of experience in software development, data engineering, or client - side technical implementation. 2. Deep domain expertise in industries such as finance, insurance, retail, or digital-native enterprises, as well as experience in manufacturing, automotive, public services, or other industries. 3. Ability to communicate directly with clients, decompose ambiguous requirements into actionable tasks, proactively drive work forward under conditions of incomplete information and changing requirements, and take ownership of delivery outcomes. 4. In-depth project experience in at least one of the following areas: AI applications and Agents, database migration and modernization, or big data platforms and data engineering. Ability to clearly articulate the technical work undertaken and the business outcomes achieved. 5. Hands-on experience with LLM applications; understanding of prompt engineering, RAG, tool calling, Agent workflows, and effect evaluation. Proficient in using AI coding tools to improve development efficiency, with the ability to verify and optimize generated code. 6. Familiarity with cloud-native application architecture and engineering delivery processes; practical experience with API/ SDK integration, automated deployment, and monitoring/ O&M. Understanding of permissions and data security requirements in enterprise environments. 7. Professional English communication ability for technical discussions, solution p…
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包括英文材料
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
Prompt+
https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design
A prompt is a natural language request submitted to a language model to receive a response back.
https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/prompt-engineering
These techniques aren't recommended for reasoning models like gpt-5 and o-series models.
https://www.youtube.com/watch?v=LWiMwhDZ9as
Learn and master the fundamentals of Prompt Engineering and LLMs with this 5-HOUR Prompt Engineering Crash Course!
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
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