About the job
We are partnering with sizable company to look for several forward-thinking and hands-on AI Engineer to build and deploy AI-powered solution that directly supports business operations.
About the job
- End-to-End AI Development - Design, build, and deploy production-grade AI applications and autonomous multi-agent systems from initial prototype to cloud deployment.
- Agentic Workflows & RAG -Develop advanced agent architectures incorporating RAG pipelines, long-term memory, tool/function calling, and structured data querying (SQL/vector).
- Business Process Automation - Partner closely with internal teams (HR, Finance, Marketing) to translate manual workflows into scalable, automated AI solutions.
- Frameworks & Strategy - Collaborate with senior management to establish reusable corporate AI frameworks, guardrails, and long-term AI transformation strategies.
- Production Quality & Observability - Implement evaluation, testing, and tracing tools to monitor agent reliability, token costs, and mitigate hallucination rates in production.
Requirements
- 2-3 years of hands-on experience in software engineering, backend development, or workflow automation, with a focus on deploying generative AI solutions.
- Proficient with Python (including API/backend development) and strong experience with modern LLM providers (OpenAI, Anthropic Claude) and agent frameworks.
- Proficient with SQL, data modeling, vector databases, and modern DevOps tools including Docker, Git, and cloud (AWS/Azure) deployment practices.
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related quantitative field.
- Proven ability to collaborate with non-technical business stakeholders, with exposure to BI tools (Power BI/Tableau) for tracking process metrics.
- Proficient in Chinese and English
Application
Our specialist consultant Wendy will get in touch with you soon, if we find your profile suitable for this position or any other vacancies we are recruiting for
