Principal AI Engineer, AI Agent Development
About The Position
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.
Requirements
- 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).
Nice To Haves
- 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
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
Ph.D. or professional degree
