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.
