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OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
Lead the design, development, and lifecycle management of autonomous AI agents tailored to crypto exchange operations (e.g., customer assistant, trading bots, risk detection agents, fraud prevention agents, etc.).
Architect multi-agent systems (MAS) and frameworks to support goal-directed, reasoning, planning, and reinforcement-learning-based agents.
Collaborate with product, engineering, business, and operation teams to define agent roles and measurable KPIs.
Drive experimentation, simulations, and continuous learning pipelines for agent performance optimization.
Stay ahead of the curve on developments in AGI, LLM-integrated agents, and cognitive architectures; apply relevant innovations to production systems.
Mentor and lead a team of AI scientists and engineers; help define the AI roadmap and research strategy.
Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain.
PhD or Master's in Computer Science, AI, Machine Learning, Robotics or related field with at least 10 years of industry experience.
Proven experience building and deploying autonomous AI agents in live environments. Ideal candidates will have:
Designed multi-agent frameworks or agent ecosystems (e.g., AutoGPT, OpenAgents, LangGraph, LangFuse, Dify, Coze, etc.).
Experience with goal-oriented agents, context engineering, memory management, tool use, and RL-based decision making.
Developed agents for real-time decision-making, such as trading, gaming, customer support, or operations.
Track record of delivering end-to-end AI systems in fast-paced, high-scale environments (preferably finance, crypto, or high-frequency domains).
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
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