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Join OKX as a Principal AI Engineer to lead the development of large-scale, LLM-powered conversational Chatbot systems for enterprise and consumer use cases in the crypto domain.
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
Responsibilities
- Lead the architecture and deployment of large-scale, LLM-powered conversational Chatbot systems.
- Define the technical vision and own end-to-end delivery of production-grade conversational AI platforms.
- Drive experimentation, simulations, and continuous learning pipelines for Chatbot performance optimization.
- Design multi-level intent routing, classifier training, and fallback strategies.
- Build dialogue quality evaluation systems.
- Drive automated bad-case discovery, A/B testing, and continuous iteration loops.
- Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain.
Requirements
- PhD or Master's in Computer Science, AI, Machine Learning, or related field with at least 10 years of industry experience.
- Deep understanding of the engineering complexity behind industrial dialogue systems, including orchestration layers, intent classification, policy control, and fallback strategies.
- Proven experience deploying large-scale conversational products (To Business or To Consumer) in production environments.
- Hands-on experience designing multi-tier intent routing and training classifiers for high-accuracy task allocation.
- Experience building structured dialogue evaluation frameworks (automatic metrics, LLM-as-judge, human review systems, etc.).
- Strong experience driving automated bad-case discovery, logging systems, experiment design, and A/B testing frameworks.
- Experience in top-tier AI labs or Tech industry leaders (nice to have).
- Experience in high-frequency trading, fintech, Web3, or crypto platforms (nice to have).
- Comfortable operating with ambiguity and speed (startups or research-intensive environments preferred) (nice to have).