Crypto Jobs at Chaos Labs

There are 43 Web3 Jobs at Chaos Labs

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Job Position Company Posted Location Salary Tags

Chaos Labs

New York, NY, United States

$104k - $106k

Chaos Labs

New York, NY, United States

$100k - $115k

Chaoslabs

New York, NY, United States

$120k - $150k

Chaoslabs

Remote

$144k - $164k

Chaoslabs

Remote

$142k - $155k

Chaoslabs

Remote

$144k - $164k

Chaoslabs

Remote

$130k - $150k

Chaoslabs

New York, NY, United States

$81k - $105k

Chaoslabs

New York, NY, United States

$68k - $90k

Chaoslabs

New York, NY, United States

$120k - $140k

Chaoslabs

Remote

$115k - $126k

Chaoslabs

New York, NY, United States

$107k - $123k

Chaoslabs

New York, NY, United States

$107k - $123k

Chaoslabs

New York, NY, United States

$69k - $84k

Chaoslabs

Remote

$87k - $112k

Chaos Labs
$104k - $106k estimated
United States New York US

Chaos Labs builds financial AI products that power safer, more accessible markets. Our risk management systems, analytics, and AI platform serve hundreds of billions in value for leading protocols and exchanges, including Kraken, Aave, Ethena, and Pendle. Since our founding in 2021, we've set the industry standard for on-chain risk management.

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

Requirements:

  • 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)