Principal AI Engineer, Chatbot Development
OKX
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Questions you are likely to be asked
- Why do you want to join OKX?
- What is your experience with LLMs? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
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Practise the Principal AI Engineer, Chatbot Development at OKX interview free →Who We Are
About the Opportunity
We are looking for a Principal AI Engineer to lead the architecture and deployment of large-scale, LLM-powered conversational Chatbot systems serving both enterprise and consumer use cases.
This is a hands-on technical role focused on building intelligent, autonomous chatbot systems operating in real-time crypto environments. You will define the technical vision and own end-to-end delivery of production-grade conversational AI platforms.
What You’ll Be Doing
- Lead the design, development, and lifecycle management for conversational Chatbots products for enterprise and consumer use cases.
- Drive experimentation, simulations, and continuous learning pipelines for Chatbot performance optimization.
- Design multi-level intent routing, classifier training, and fallback strategies.
- Building 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.
What We Look For In You
- 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.
Nice to Haves
- Experience in top-tier AI labs or Tech industry leaders
- Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage
- Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed
OKX Statement
#LI-HYBRID#LI-HYBRID
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Listed on greenhouse · posted 2026-03-03. ApplySarthi collects openings and links to application pages; the role is advertised by OKX, not by us.