Initial requirement to be based in Shenzhen for a short period, 1-3 months, can transition to remote work.

We are seeking an experienced AI Infrastructure Engineer to join our dynamic team. The ideal candidate should have a deep understanding and practical experience with AI, particularly large language models (LLMs), their latest technologies, and related products (including AIOps platforms and tools).

Key Responsibilities:

1. Stay updated on cutting-edge AI technologies, particularly the latest developments in large language models and the AIOps field.

2. Proficiently use and deeply understand the latest AI technologies and products, with a focus on large language models and AIOps platforms such as Coze, Dify, or similar.

3. Have practical experience in the AI engineering domain, including model deployment, optimization, monitoring, and AIOps implementation.

4. Build efficient and scalable business architectures centered around AI using AI services (e.g., OpenAI API), locally deployed large models, AIOps platforms, and other relevant data with frontend/backend services.

5. Collaborate with cross-functional teams to implement AI solutions that meet business needs and objectives.

1. A degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A minimum score of 92 in academic qualifications and a QS ranking above 200.

2. Extensive work experience in the AI infrastructure field, particularly with large language models.

3. Practical experience in AI engineering, including model deployment and optimization.

4. Proficiency in using AI services (such as OpenAI API) and the ability to deploy large models.

5. Excellent problem-solving skills and the ability to adapt to a fast-paced work environment.