Engineer

Responsibility

The common responsibilities for this position include developing prompts in both Chinese and English for an AI platform, creating effective prompts to guide narrative generation, and refining prompts based on feedback and performance data. The role involves building and maintaining robust, scalable infrastructure for model training and enhancements, designing, implementing, and evaluating AI-driven projects, and collaborating with business stakeholders to assess needs and develop tailored AI solutions. Conducting workshops to educate business users on AI technologies and tools, ensuring high standards of engineering quality through code reviews and best practices, and analyzing large datasets to derive actionable insights are also key duties. Additionally, overseeing daily operations and monitoring the Large Language Model (LLM) GPU cluster, handling GPU node failures and network anomalies, and optimizing the Kubernetes GPU scheduling system are essential responsibilities. The appointee will also maintain monitoring and logging pipelines, provide technical support for platform scaling and migration, and design and implement robust LLM-powered agent systems. Other tasks include building backend services, developing rigorous testing frameworks, and integrating advanced autonomous coding and browser-control tools.

Job Growth

Skills Requirement

The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.

• Skill Categories
• Specific Skill Sets

Skills Distribution

The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.

• More Than 70%
• More Than 50%
• More Than 30%
• More Than 10%