Posted by the employer · San Jose, United States
Principal AI Engineer - AI Agent Development
OKX · San Jose · United States
Posted: 3/3/2026 · On the employer's job feed since 10/11/2026
The advert
Quoted in full from OKX's job posting. Gavroche does not edit it.
Who We Are
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.
About the Opportunity
What You’ll Be Doing
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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.).
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Architect multi-agent systems (MAS) and frameworks to support goal-directed, reasoning, planning, and reinforcement-learning-based agents.
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Collaborate with product, engineering, business, and operation teams to define agent roles and measurable KPIs.
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Drive experimentation, simulations, and continuous learning pipelines for agent performance optimization.
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Stay ahead of the curve on developments in AGI, LLM-integrated agents, and cognitive architectures; apply relevant innovations to production systems.
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Mentor and lead a team of AI scientists and engineers; help define the AI roadmap and research strategy.
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Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain.
What We Look For In You
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10+ years of industry experience in a relevant field, or an equivalent combination of advanced degree (PhD/Master's in Computer Science, AI, Machine Learning, Robotics, or related field) and industry experience.
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Proven experience building and deploying autonomous AI agents in live environments. Ideal candidates will have:
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Designed multi-agent frameworks or agent ecosystems (e.g., AutoGPT, OpenAgents, LangGraph, LangFuse, Dify, Coze, etc.).
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Experience with goal-oriented agents, context engineering, memory management, tool use, and RL-based decision making.
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Developed agents for real-time decision-making, such as trading, gaming, customer support, or operations.
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Track record of delivering end-to-end AI systems in fast-paced, high-scale environments (preferably finance, crypto, or high-frequency domains).
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Nice to Haves
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Experience in top-tier AI labs or Tech industry leaders
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Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage
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Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed
OKX Statement
#LI-HYBRID#LI-HYBRID
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