Job Description
Chaos Labs builds technology that powers safer, more accessible financial markets. Our risk management systems, oracles, and AI models secure over $200 billion in assets across protocols including Aave, Jupiter, and GMX, processing more than $5 trillion in transaction volume. We recently launched Chaos AI, a financial intelligence platform that transforms complex market data into actionable insights and brings institutional-grade intelligence to everyone.
The Role:
We're looking for a Senior AI Engineer to design and build the agentic systems powering Chaos AI. You'll work at the intersection of LLMs, financial data, and production infrastructure, creating intelligent agents that reason, plan, and execute across complex financial workflows.
Responsibilities:
Design and build single and multi-agent systems with planning, memory, and tool use
Build and operate MCP servers with secure schemas and permissions
Develop agentic workflows using LangGraph or equivalent frameworks
Integrate LLMs via SDKs; manage prompts, structured outputs, and tool calling
Define and run LLM evaluations for quality, correctness, latency, cost, and regressions
Build observability and reliability infrastructure: logging, tracing, retries, state management
Optimize performance and cost from prototype to production
Mentor engineers and establish agentic best practices