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.
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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
About the Role
You will lead the design, development, deployment, and lifecycle management of autonomous AI agents for crypto exchange operations. You will architect multi-agent systems that support reasoning, planning, and reinforcement learning; run experiments and simulations to optimize performance; and apply relevant advances in AGI, LLM-integrated agents, and cognitive architectures to production systems. You will collaborate with product, engineering, business, and operations stakeholders to define agent roles and measurable KPIs. You will mentor AI scientists and engineers, help shape the AI roadmap and research strategy, and ensure AI-powered systems are scalable, secure, and compliant with applicable regulations.
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 relevant 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