Principal AI Engineer, Chatbot Development

OKXSan Jose, CA
2h$313,055 - $450,000

About The Position

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.

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.

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

Responsibilities

  • 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.
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