Staff AI Engineer Autonomous Trading Agents

Job Description

We are building an autonomous trading agent system where agents operate 24/7, making real decisions and generating real outcomes. We’re looking for a Staff AI Engineer to build the intelligence layer that enables the fleet to learn from trading data and continuously optimize performance. Tasks What You’ll Do Build feedback loops from outcomes → strategy improvements (signals, risk, timing) Develop evaluation frameworks to identify what drives profitable trades Automate strategy generation, backtesting, and deployment Design multi-agent learning and fleet coordination systems Own ML/LLM systems end-to-end: data → model → production → measurable impact Requirements Proven ML engineering experience in production environments Background in reinforcement learning or online learning (closed-loop systems) Strong programming skills (Python required; Go/TypeScript is a plus) Experience building data pipelines and distributed systems Nice to have: fintech/trading, LLM fine-tuning, multi-agent systems Not a Fit If You focus only on research/papers You primarily do prompt engineering Benefits Compensation Total compensation: ~$450K+ Base: $175K–$250K Equity + token upside Ideal for engineers who want to build AI systems with direct, measurable impact on real-world performance.