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.
Investors
Projects
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 design, develop, deploy, and manage autonomous AI agents for crypto exchange operations, including customer assistance, trading, risk detection, and fraud prevention. You will architect multi-agent systems, run experiments and simulations, optimize continuous-learning pipelines, define measurable agent KPIs, guide AI research strategy, mentor AI scientists and engineers, and ensure scalable, secure, compliant AI-powered solutions.
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
- Current right to work in Singapore without requiring visa sponsorship
Responsibilities
- Lead the design, development, 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 teams to define agent roles and measurable KPIs
- Drive experimentation, simulations, and continuous-learning pipelines to optimize agent performance
- Apply relevant AGI, LLM-integrated agent, and cognitive-architecture innovations 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
- Learning and development programs
- Education subsidy
- Team-building programs and company events
- Wellness allowance
- Meal allowance
- Comprehensive healthcare schemes for employees and dependants
