腾讯云大模型AI后台开发工程师
Tencent
腾讯云大模型AI后台开发工程师
Job Description
腾讯云大模型AI后台开发工程师
📋 Job Overview
The role involves designing and developing the engineering service architecture for Tencent Cloud's AI large model capabilities, including text generation, image generation, and video generation. It focuses on supporting massive ToB commercial services with stable output, ensuring high concurrency handling, high availability, high security protection, and flexible scalability. Additionally, the position emphasizes building componentized, toolized, platformized, and automated capabilities to improve team development efficiency, optimize service quality and system performance, and enhance product market competitiveness.
📍 Location: Xi'an, China
🏢 Business Unit: CSIG
📄 Full Description
2.通过组件化、工具化、平台化及自动化能力建设，提升团队研发效率，持续优化服务质量和系统性能，增强产品市场竞争力。
🎯 Key Responsibilities
- Responsible for the engineering service architecture design and development of Tencent Cloud's AI large model capabilities such as text generation, image generation, and video generation, supporting massive ToB commercial services with stable output, ensuring high concurrency processing, high availability operation, high security protection, and flexible scalability.
- Through componentization, toolization, platformization, and automation capability construction, improve team development efficiency, continuously optimize service quality and system performance, and enhance product market competitiveness.
Locations
- Xi'an, China
Salary
250,000 - 500,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Responsible for the engineering service architecture design and development of Tencent Cloud's AI large model capabilities such as text generation, image generation, and video generation, supporting massive ToB commercial services with stable output, ensuring high concurrency processing, high availability operation, high security protection, and flexible scalability.
- Through componentization, toolization, platformization, and automation capability construction, improve team development efficiency, continuously optimize service quality and system performance, and enhance product market competitiveness.
Tags & Categories
腾讯云大模型AI后台开发工程师
Tencent
腾讯云大模型AI后台开发工程师
Job Description
腾讯云大模型AI后台开发工程师
📋 Job Overview
The role involves designing and developing the engineering service architecture for Tencent Cloud's AI large model capabilities, including text generation, image generation, and video generation. It focuses on supporting massive ToB commercial services with stable output, ensuring high concurrency handling, high availability, high security protection, and flexible scalability. Additionally, the position emphasizes building componentized, toolized, platformized, and automated capabilities to improve team development efficiency, optimize service quality and system performance, and enhance product market competitiveness.
📍 Location: Xi'an, China
🏢 Business Unit: CSIG
📄 Full Description
2.通过组件化、工具化、平台化及自动化能力建设，提升团队研发效率，持续优化服务质量和系统性能，增强产品市场竞争力。
🎯 Key Responsibilities
- Responsible for the engineering service architecture design and development of Tencent Cloud's AI large model capabilities such as text generation, image generation, and video generation, supporting massive ToB commercial services with stable output, ensuring high concurrency processing, high availability operation, high security protection, and flexible scalability.
- Through componentization, toolization, platformization, and automation capability construction, improve team development efficiency, continuously optimize service quality and system performance, and enhance product market competitiveness.
Locations
- Xi'an, China
Salary
250,000 - 500,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Responsible for the engineering service architecture design and development of Tencent Cloud's AI large model capabilities such as text generation, image generation, and video generation, supporting massive ToB commercial services with stable output, ensuring high concurrency processing, high availability operation, high security protection, and flexible scalability.
- Through componentization, toolization, platformization, and automation capability construction, improve team development efficiency, continuously optimize service quality and system performance, and enhance product market competitiveness.
Tags & Categories