Responsibilities:

• Translate business requirements and algorithmic models into high-quality, production-ready code.

• Design, develop, test, deploy, and maintain efficient and reliable AI models and systems.

• Monitor system performance, optimise efficiency, and handle incident troubleshooting to ensure service reliability.

• Safeguard production AI systems in terms of stability, scalability, and security.

• Collaborate with data scientists, software engineers, and product managers to drive smooth project delivery.

• Produce clear technical documentation, including architecture designs, API specifications, and operation guides.

• Contribute to technical decision-making and introduce AI engineering best practices and tools.

• Perform code reviews and mentor junior engineers.

Requirements:

• Bachelor’s degree or above in Computer Science, AI, ML, Statistics, or related field.

• 3+ years software development, including 1+ year on Python-based AI projects.

• Strong Python and AI libraries (e.g. NumPy, Pandas, Scikit-learn).

• Experience with at least one LLM framework and major LLM APIs.

• Knowledge of vector databases and RAG architectures.

• Cloud AI platform experience preferred.

• Familiar with version control, testing, and CI/CD.

• Experience deploying AI to production (e.g. Docker, Kubernetes, FastAPI, Flask) is a plus.

• Experience with large datasets and SQL databases.

• Fluent Chinese and English; strong communication and learning agility.