Principal AI Engineer, AI Agent Development

About the Opportunity

We are seeking a Principal Engineer with a deep expertise in autonomous AI agent architecture and deployment, to spearhead the design, development, and optimization of intelligent agent systems on our global crypto exchange platform. This is a senior role requiring a hands‑on AI science background combined with strategic oversight, technical direction, and cross‑functional collaboration.

You will work at the cutting edge of AI and crypto, designing AI agents that can autonomously reason, act, and evolve in complex, real‑time environments such as trading, security, compliance, and customer interaction.

• 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.

• 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.

• 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, Open Agents, Lang Graph, Lang Fuse, 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.