We're seeking experienced AI engineers to build vertical AI agents for financial technology domains. The role involves training, fine-tuning, and deploying LLMs as production-ready systems. Key requirements include hands-on LLM/deep learning experience, domain-specific AI knowledge, and strong Python and engineering fundamentals.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
About Us
Leading global fintech platform serving millions of users, top-ranked by transaction volume.
We're pioneering AI-native systems where LLMs, intelligent agents, and automation drive core capabilities—not just features.
The Role
Seeking engineers to build vertical AI agents for financial technology domains.
Train, fine-tune, and deploy LLMs (using SFT/RLHF) as production-ready systems, including:
- Fintech AI agents & copilots
- Domain Q&A and knowledge tools
- Specialized financial insight engines
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Collaborate with product/engineering teams to ship AI at scale.
What You’ll Work On
- LLM training/fine-tuning (SFT, RLHF, distillation) for financial use cases
- RAG systems & knowledge integration
- Model optimization for real-time production
- AI agent development & efficiency pipelines
Who You Are
- Hands-on LLM/deep learning experience (PyTorch/Transformers)
- Built domain-specific AI (fintech/finance preferred)
- Strong Python & engineering fundamentals
- Mandarin & English fluency required
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Nice to Have
- Fintech/trading/quant background
- Scaled AI deployments
- Agentic AI systems
Why Join
- Shape AI for a global top platform
- Real-world impact at massive scale
- Fully remote (GMT+8 hours focus)
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