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 crypto exchange operations. Architect multi-agent systems supporting reasoning, planning, and reinforcement learning; optimize performance through experimentation and simulation; apply advances in AGI, LLM-integrated agents, and cognitive architectures; define agent roles and KPIs; mentor AI scientists and engineers; shape the AI roadmap and research strategy; and ensure scalable, secure, and compliant AI systems.
Requirements
- 10+ years of relevant industry experience, or an equivalent combination of an advanced degree and 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, and lifecycle management of autonomous AI agents for crypto exchange operations.
- Architect multi-agent systems and frameworks supporting goal-directed reasoning, planning, and reinforcement-learning-based agents.
- Collaborate with product, engineering, business, and operations teams to define agent roles and measurable KPIs.
- Drive experimentation, simulations, and continuous learning pipelines to optimize agent performance.
- Apply developments in AGI, LLM-integrated agents, and cognitive architectures to production systems.
- Mentor and lead AI scientists and engineers.
- Define the AI roadmap and research strategy.
- Ensure the scalability, security, and regulatory compliance of AI-powered solutions.
Benefits
- Performance bonus
- Long-term incentives
- Medical benefits
- Financial benefits
