Principal AI Engineer AI Agent Development
Lead the design, development, deployment, and lifecycle management of autonomous AI agents for crypto exchange operations. Architect multi-agent systems supporting reasoning, planning, and reinforcement learning; optimize performance through experimentation and simulation; apply advances in AGI, LLM-integrated agents, and cognitive architectures; define agent roles and KPIs; mentor AI scientists and engineers; shape the AI roadmap and research strategy; and ensure scalable, secure, and compliant AI systems.
Responsibilities
- Lead the design, development, and lifecycle management of autonomous AI agents for crypto exchange operations.
- Architect multi-agent systems and frameworks supporting 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 developments in AGI, LLM-integrated agents, and cognitive architectures 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.
Requirements
- 10+ years of relevant industry experience, or an equivalent combination of an advanced degree and 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.
Benefits
- Performance bonus
- Long-term incentives
- Medical benefits
- Financial benefits