JR Talks Vol. 9: What Do AI Application Engineers Do in China?
Details
Please note: This event will be conducted in Mandarin Chinese.
## 🎟️ Register Here
https://jiangren.com.au/events/6a842e7427fe430dd9386941
# What Does an AI Application Development Engineer Actually Do in China?
A practical breakdown of real Chinese job descriptions—from responsibilities and technology stacks to projects and interviews. 🔍
“AI Application Development Engineer,” also known as an LLM Application Engineer or Large Model Application Engineer, is becoming an increasingly popular career direction for developers in China.
However, job requirements vary widely. Some positions focus on integrating LLM APIs, while others require experience with RAG, AI Agents, MCP, private deployment, model evaluation, data security and cost optimisation.
After reading dozens of job descriptions, many developers still have the same questions:
- 💼 What does this role involve day to day?
- 🔄 How is it different from a backend engineer or algorithm engineer?
- 🧠 What technical skills and project experience do companies really value?
- 🛠️ What should experienced IT professionals learn before making the transition?
- 📄 What kind of AI project can strengthen a resume and withstand interview questions?
In this livestream, we will examine representative AI application development job descriptions from the Chinese market across four key areas: responsibilities, technology stacks, project experience and interview expectations.
No vague industry predictions and no confusion between algorithm research and application development. We’ll focus on real roles and practical projects: what problems companies expect you to solve, what capabilities they need, and how your existing experience can transfer into AI application development.
## 🔍 What We’ll Discuss
1｜What does an AI Application Development Engineer actually do?
Follow the complete workflow of an AI feature—from business requirements and model integration to knowledge-base development and production deployment.
2｜What are real job descriptions asking for?
Break down responsibilities, technology stacks, experience requirements and project expectations to identify what different companies have in common.
3｜Why is calling an LLM API not enough?
Understand the gap between a quick demo and a production-ready AI application, including evaluation, logging, security, reliability and cost control.
4｜What should you learn first: RAG, Agents, MCP, evaluation or deployment?
Build a structured AI application development roadmap instead of learning isolated buzzwords.
5｜How can people from different IT backgrounds make the transition?
Explore transferable skills and capability gaps for backend, frontend, full-stack, testing, data and DevOps professionals.
6｜What projects can strengthen your resume and survive interview deep dives?
Learn how interviewers assess business context, technical decisions, system design, evaluation results and production deployment.
## 🎙️ Guest Speakers
Max
NLP Algorithm Researcher｜CETC Cyber Security
Max holds a Master’s degree in Computer Science from Trinity College Dublin and a Bachelor’s degree from Sun Yat-sen University.
With seven years of NLP research and engineering experience, he has led multiple commercial LLM applications involving RAG, AI Agents and Prompt Engineering, with extensive experience taking AI projects from zero to production. He is also the first author of four Chinese national patents and several core journal papers.
Ding
Architect｜Tencent
Ding is a Computer Science graduate from the Australian National University and currently works as an architect at Tencent.
He has received offers from six leading companies, including Tencent, Alibaba, ByteDance, Meituan, Dewu and AWS, giving him extensive experience in technical interviews, career preparation and DevOps learning.
Junjie Yan
Founder｜Chengdu Fengzhilan Technology
Junjie is an AI technology specialist and the founder of Chengdu Fengzhilan Technology.
He focuses on OPC, artificial intelligence and enterprise technology solutions, providing AI consulting and project delivery services with practical experience in AI research and real-world implementation.
Gang Wang
Senior Data R&D Expert｜China Mobile Internet
Gang specialises in data engineering and enterprise data applications.
He has extensive experience in large-scale data development, system architecture and business implementation, with a strong understanding of how data and AI technologies can be applied in real enterprise environments.
## 👥 Who Should Attend?
- Backend, frontend and full-stack developers considering a transition into AI application development
- Testers, data professionals and DevOps engineers who want to participate in AI projects
- Developers who have learned RAG or AI Agents but are unsure how close they are to a real role
- People who have built AI demos and want to turn them into stronger portfolio projects
- Computer Science students planning a career in AI
- IT professionals who want to enter the AI industry without starting from algorithm research
## 🗓️ Event Details
📅 Date: Wednesday, 23 September 2026
🇨🇳 Beijing Time: 7:00 PM–9:00 PM
🇦🇺 Sydney Time: 9:00 PM–11:00 PM
💻 Format: Online livestream
🗣️ Language: Mandarin Chinese
🎟️ Admission: Free · Registration required
## 🌟 About JR Talks
JR Talks is a technology and career conversation series presented by JR Academy, exploring the future of AI, education and technology careers.
We believe that true craftspeople are not defined by the times they live in. They keep learning, continue practising and ultimately create meaningful change. ✨