Chaos Labs - AI Engineer
At a glance
Mid-level AI Engineering role at deCircle. Remote, United States · full-time · $130,000–$150,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build single- and multi-agent systems that plan, retain context, and use tools across financial workflows
- Create MCP servers with controlled permissions and schemas, then develop agent workflows with LangGraph or similar frameworks
- Connect LLMs through SDKs and manage prompts, structured responses, and tool calls
- Set up LLM evaluations for accuracy, quality, speed, cost, and regressions, alongside logging, tracing, retries, and state management
- Improve production performance and cost, and guide engineers on agentic practices
What you bring
- At least five years in software engineering, including two or more years delivering production AI or machine-learning systems
- Practical work with agent architectures, tool calling, MCP servers, and LangGraph or a comparable framework
- Experience building and running LLM evaluation pipelines, plus strong Python and API design skills
- Familiarity with retrieval-augmented generation, vector databases, and embedding-based search
Who this fits
This role suits a hands-on engineer building production AI agents, with experience spanning LLMs, evaluation, and infrastructure. The position is listed as remote and based in New York.
From the employer
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
5+ years software engineering; 2+ years building production AI/ML systems
Hands-on experience with agentic architectures and tool calling
Practical experience with MCP servers
Experience with LangGraph or equivalent agentic frameworks
Experience designing and operating LLM evaluation pipelines
Strong Python and API design skills
Familiarity with RAG pipelines, vector databases, and embedding-based retrieval
Preferred Qualifications:
Experience with financial data, crypto/DeFi, or quantitative analysis
Background in distributed systems or high-throughput data pipelines
Contributions to open-source AI/ML projects
Our Perks:
Compensation & Equity – competitive package aligned with growth, performance, and merit
Career Growth Opportunities – be part of a rapidly expanding, global technology company with room to grow professionally
Paid Time Off - 21 vacation days + 7 sick days + 8 observed U.S. company holidays
Health Coverage - 100% employer-paid options (medical, dental & vision) for you and your dependents
FSA / HSA Options - depending on selected health insurance plan
Parental Leave - thoughtful policy to support your family needs
Wellness Programs - OneMedical, Teladoc, Talkspace, and EAP
Career Growth - opportunities in a rapidly expanding, global technology company with personalized professional development
Pre-tax Commuter Benefits
Compensation & Equity - competitive package aligned with growth and merit
Salary and seniority level commensurate with experience (Range: $130K–$150K