Related skills
ai reinforcement learning langgraph multi-agent systems langfuse📋 Description
- Lead design, development, and lifecycle of autonomous AI agents for crypto ops.
- Architect multi-agent systems and frameworks for goal-directed reasoning and RL agents.
- Collaborate with product/engineering/ops to define agent roles and KPIs.
- Drive experiments, simulations, and learning pipelines for agent performance.
- Mentor and lead AI team; shape roadmap and research strategy.
- Ensure scalable, secure, compliant AI solutions for crypto trading.
🎯 Requirements
- PhD or Master's in CS/AI/ML/Robotics; 10+ years exp.
- Proven experience building autonomous AI agents in live systems.
- Designed multi-agent frameworks (AutoGPT, OpenAgents, LangGraph).
- Experience with goal-oriented agents, memory management, tools, RL.
- Built real-time decision agents for trading and customer support.
- End-to-end AI systems delivery in fast-paced finance/crypto.
🎁 Benefits
- Competitive salary and performance bonus.
- Long-term incentives.
- Medical, financial, and other benefits.
- Global, diverse team culture.
- Career growth and leadership opportunities.
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