- Build Production-Grade Agentic AI - Work with LangGraph, LangChain and LLMOps to take AI solutions from concept into real producti
- High Technical Ownership - Shape the architecture, solve complex problems independently, an work closely with Data Scientists and
- Work for one of the world's largest international health & beauty retailer, with operation in multiple markets.
You will lead and help scale a team responsible for building production-grade Machine Learning, Agentic AI and LLM solutions. The AI platform is continuing to expand across multiple business units and international markets, including Europe.
This is a hands-on leadership position suited to someone who can provide technical direction, influence architecture and mentor engineers while remaining close to the technology.
Key Responsibilities
- Lead and mentor a team of Machine Learning and AI Engineers
- Drive the productionization of ML models, LLMs and AI agent workflows
- Define technical architecture and engineering best practices for the AI platform
- Work closely with Data Scientists, LLM Engineers, frontend and platform teams
- Guide the development of scalable backend services using Python, FastAPI and Async Python
- Oversee integration between frontend applications, AI agents, model services and data platforms
- Improve the reliability, monitoring and performance of production AI systems
- Monitor areas including agent execution, API latency and LLM costs
- Drive strong engineering practices around testing, observability and production support
- Help scale the platform across different business units and international markets
- Strong experience in Machine Learning Engineering, AI Engineering, MLOps or Backend Engineering
- Previous experience leading or managing technical engineering teams
- Strong hands-on Python engineering background
- Experience with FastAPI, Async Python, Pydantic and pytest
- Proven experience taking AI/ML solutions into production
- Understanding of Agentic AI, Generative AI, LLMs and LLMOps
- Exposure to LangGraph, LangChain and Langfuse
- Strong SQL skills with experience in technologies such as PostgreSQL and Databricks
- Understanding of monitoring and observability technologies such as Grafana
- Ability to provide technical direction while giving engineers ownership
- Strong Chinese and English communication skills
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