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patsnap
Senior AI Engineer
SingaporePosted 2 months agofulltime
What you'd do
- Build company-wide AI knowledge infrastructure: wiki,knowledge base,and retrieval layer.
- Develop scalable LLM architecture with RAG pipelines,vector databases,and prompt workflows.
- Own end-to-end delivery of internal AI tools through deployment and monitoring.
What they want
- Bring 4 to 7 years of backend engineering with 2+ years of LLM application work.
- Develop strong backend services in Python.
- Ship production LLM applications including prompt engineering at scale and RAG architecture.
Nice to have
- Add Node.js or Go to your backend toolkit.
- Use AI coding tools such as Cursor,Claude Code,or GitHub Copilot heavily.
- Mentor junior engineers and set technical documentation standards.
Seoulstart's read
- Work authorization
- Not stated, verify with recruiter
- Language beyond English
- Mandarin required
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