Principal AI Engineer, AI Agent Development
OKX is a leading global cryptocurrency exchange offering a wide range of trading services, including spot and derivatives trading, as well as Web3 solutions.
Maintainer signals as of 9/2/2026
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About OKX
OKX is a global cryptocurrency exchange known for its trading services and financial products. The platform offers a wide range of features, including spot and derivatives trading, staking services, and a user-friendly interface suitable for both beginners and experienced traders.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Lead the design, development, deployment, and lifecycle management of autonomous AI agents for exchange operations. Architect multi-agent systems, drive experimentation and continuous-learning pipelines, define measurable agent KPIs with stakeholders, ensure scalability, security, and regulatory compliance, apply advances in AGI, LLM-integrated agents, and cognitive architectures, and mentor AI scientists and engineers.
Requirements
- PhD or Master's degree in Computer Science, AI, Machine Learning, Robotics, or a related field
- At least 10 years of industry experience
- Proven experience building and deploying autonomous AI agents in live environments
- Experience designing multi-agent frameworks or agent ecosystems
- Experience with goal-oriented agents, context engineering, memory management, tool use, and reinforcement-learning-based decision-making
- Experience developing agents for real-time decision-making
- Track record of delivering end-to-end AI systems in fast-paced, high-scale environments
Responsibilities
- Lead the design, development, deployment, and lifecycle management of autonomous AI agents for crypto exchange operations
- Architect multi-agent systems and frameworks for goal-directed reasoning, planning, and reinforcement-learning-based agents
- Collaborate with product, engineering, business, and operations stakeholders to define agent roles and measurable KPIs
- Drive experimentation, simulations, and continuous-learning pipelines to optimize agent performance
- Apply relevant developments in AGI, LLM-integrated agents, and cognitive architectures to production systems
- Mentor AI scientists and engineers and help define the AI roadmap and research strategy
- Ensure the scalability, security, and regulatory compliance of AI-powered solutions
Benefits
- Team-building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- L&D programs and education subsidy for employee growth and development
- Competitive total compensation package
