Full Stack Engineer (AI)

Reposted 4 Days Ago
Hiring Remotely in United States
Remote
160K-210K Annually
Senior level
Software
The Role
Develop scalable full-stack systems for an AI financial agent, build APIs, manage data pipelines, and collaborate on agent integration.
Summary Generated by Built In
Description

Chaos Labs is the first automated, on-chain economic security system enabling crypto protocols to optimize risk management and capital efficiency while safeguarding user funds. We analyze protocol mechanics and scenario implications using world-class custom EVM simulations to provide actionable insights. Our platform is trusted by leading protocols, including Aave, GMX, dYdX, Venus, Jupiter and others, to manage and secure billions of dollars in assets.

We are seeking a proactive and results-driven Full-Stack Engineer to join our AI team. Reporting directly to the Head of Product & AI you will play a critical role in working closely with our CEO and AI team to develop our financial AI agent.

Responsibilities:

  • Design and build full-stack systems for our AI financial agent.
  • Develop scalable APIs and backend services to support agent workflows.
  • Build high-performance, user-facing interfaces to visualize agent reasoning and surface insights, as well as enable real-time interaction.
  • Collaborate with AI researchers to integrate and productionize agent logic.
  • Connect and manage data pipelines from financial sources.
  • Implement testing, monitoring, and performance best practices.
  • Stay up to date with LLM frameworks, full-stack tools, and financial trends.

Requirements
  • 5+ years of full-stack development experience.
  • Strong proficiency in Python (FastAPI), JavaScript/TypeScript, Node.js, and React.
  • Proven experience building scalable APIs and web applications.
  • Solid knowledge of relational and non-relational databases.
  • Hands-on experience with LLMs and frameworks like LangChain or similar.
  • Familiarity with vector databases, RAG pipelines, and async programming.
  • Experience with financial data and APIs.
  • Comfortable working in fast-paced, self-directed environments.

.

Preferred Qualifications:

  • Based in NYC with the ability to work from our Brooklyn office, or the ability to work remotely in the USA, with travel up to 30% of the year to collaborate in person with the team.
  • Experience building LLM-based agents in production environments.
  • Familiarity with prompt engineering, tool use orchestration (MCP), and AI agent design.
  • Experience with embedding pipelines, semantic search, and RAG architectures.
  • Proficiency with profiling tools and performance optimization.
  • Track record of contributing to or thriving in collaborative, high-velocity teams.
  • Familiarity with smart contracts, blockchain protocols, and DeFi systems is a plus.

Our Perks:

  • 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: $160,000 - $210,000)


Top Skills

JavaScript
Langchain
Llms
Node.js
Non-Relational Databases
Python (Fastapi)
React
Relational Databases
Typescript
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The Company
HQ: New York, NY
25 Employees
Year Founded: 2021

What We Do

Decentralized blockchain applications introduce a myriad of technical challenges, security vulnerabilities and attack vectors.

With DeFi (decentralized finance) protocols now securing hundreds of billions in value in production, the stakes have never been higher. With new technological primitives and bustling innovation, new security paradigms are required. dApps leverage open source modules and often consume other protocols in order to create new applications. This introduces a dependency heavy software architecture which makes it an ideal candidate for runtime verification.

Chaos Labs is a cloud platform which enables teams to create high-fidelity agent and scenario-based simulations on mainnet forks, offering a real-world testing environment. By providing a rich library of customizable agents and scenarios, teams can rapidly speed up development and reduce their go-to-market time, helping them stay competitive without compromising on the security of their protocol.

Additionally, Chaos Labs focuses on developer tooling and cloud infrastructure, allowing teams to move fast on stable infrastructure. The platform is currently live for protocols on the Ethereum network and later expanding to additional blockchains such as Terra, NEAR and Polygon.

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