Description

CL 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 a financial intelligence platform that transforms complex market data into actionable insights and brings institutional-grade intelligence to everyone.

It is the first automated, onchain 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.

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.

Ability to work from our Brooklyn Office 5 days a week.

Preferred Qualifications:

Based in the United States with the ability to work remote or from our Brooklyn office, LATAM or TLV

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.

Benefits

Compensation & Package

Our Perks:

Competitive PTO (21 days) + sick days (7) + 8 observed US-company holidays

100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents

FSA or HSA (pending on selected health insurance)

Thoughtful Parental Leave Policy

Corporate wellness programs with OneMedical, Teladoc, Talkspace, EAP

Career growth opportunities at a rapidly expanding, global technology company in an emerging field with personalized professional development

Pre-tax Commuter Benefits

Interview Process

1.Recruiter / HR Call

30mins

2.Hiring Manager Interview

30mins

3.Technical Interview

1 hour - focused on Leetcode and can use AI tools

4.Technical Interview

1 hour - please note there will be 2 technical interviews. Focused on Syntax programming fundamentals and can use AI tools

5.Founder / CEO Interview

30 mins