Staff AI Engineer Autonomous Trading Agents

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.