Senior Full Stack AI Engineer

Chaos Labs builds technology for safer financial markets, including risk management systems, oracles, and AI models for blockchain protocols and financial institutions. It also develops enterprise AI infrastructure for understanding, governing, and improving organizational AI work.

New York, USA
About Chaos Labs

Chaos Labs provides risk management, oracle, proof-of-reserves, analytics, and AI infrastructure for blockchain protocols, exchanges, institutions, and other financial platforms. Its services include simulation, testing, and analysis tooling for blockchain protocols, as well as price oracles and onchain monitoring that help secure financial markets and digital assets. The company also builds enterprise AI infrastructure focused on visibility into AI workflows, organizational knowledge, governance, and proprietary intelligence.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

Build responsive React and TypeScript frontend applications and scalable Python and Rust backend services. Integrate applications with cloud infrastructure, maintain databases and CI/CD pipelines, develop optional AI features, and improve reliability, performance, security, and cost.

Requirements

  • 5+ years of professional software engineering experience
  • Strong Python and JavaScript/TypeScript skills
  • Production experience with React
  • Backend API and distributed-systems experience
  • Familiarity with AWS, Azure, or GCP
  • Familiarity with Kubernetes
  • Familiarity with SQL and NoSQL databases
  • Experience with Rust, Go, or another statically typed language is a plus
  • Familiarity with RAG, embeddings, vector databases, AI agents, and prompt evaluation is a plus
  • Strong communication, product thinking, and problem-solving skills

Responsibilities

  • Build responsive frontend applications with React and TypeScript
  • Develop scalable backend services and APIs using Python and Rust
  • Integrate applications with AWS or GCP infrastructure
  • Design and maintain databases, integrations, automated tests, and CI/CD pipelines
  • Develop AI features involving LLMs, RAG, embeddings, vector databases, and agents
  • Monitor and improve application reliability, performance, security, and cost

Benefits

  • 21 vacation days, 7 sick days, and 8 observed U.S. company holidays
  • 100% employer-paid medical, dental, and vision coverage for employees and dependents
  • FSA/HSA options
  • Wellness programs including OneMedical, Teladoc, Talkspace, and EAP
  • 401(k) with a 100% company match on the first 6% contributed
  • Pre-tax commuter benefits
  • Equity compensation

Hiring Process

Hiring Process typically takes two to four weeks: interview with Talent Lead, technical assignment, interview with Hiring Manager, and interview with CEO.