Fullstack Engineer (AI)

TL;DR

Fullstack Engineer (AI): Architect and build robust full-stack systems powering a proprietary financial AI agent with an accent on scalable backend services, high-performance user interfaces, and LLM integration. Focus on productionizing agent logic, managing complex data pipelines from financial providers, and implementing monitoring for system reliability in DeFi environments.

NYC/Brooklyn office 5 days/week ability required; remote from USA/LATAM/Tel Aviv accepted if able to work EST hours

Compensation: $160K - $200K

Company

Pioneer in automated on-chain economic security systems providing EVM simulations to protect and optimize DeFi protocols managing billions in assets.

What you will do

• Architect full-stack systems for proprietary AI financial agent.
• Develop scalable APIs and backend services for agent workflows.
• Build high-performance UIs visualizing agent reasoning and financial insights.
• Integrate and productionize LLM frameworks with AI researchers.
• Manage data pipelines from financial providers.
• Implement testing, monitoring, and performance practices.

Requirements

• Location: Ability to work from Brooklyn, NY office five days a week
• 5+ years professional full-stack development, preferably in fast-paced tech.
• Strong Python (FastAPI), JavaScript/TypeScript, Node.js, React.
• Scalable APIs, web apps, relational/non-relational databases.
• Hands-on LLMs (LangChain), vector DBs, RAG pipelines, async programming.
• Experience with financial data and APIs.

Nice to have

• LLM-based agents in production.
• Prompt engineering, tool orchestration, semantic search.
• Embedding pipelines, RAG architectures.
• Smart contracts, blockchain, DeFi.

Culture & Benefits

• 21 days PTO, 7 days sick leave, 8 US holidays.
• 100% employer-paid medical/dental/vision for employees/dependents; FSA/HSA.
• Parental leave policy.
• Wellness: OneMedical, Teladoc, Talkspace, EAP.
• Professional development opportunities.
• Pre-tax commuter benefits.

Hiring process

• 30-min recruiter/HR screening.
• 30-min with Head of Product & AI.
• 1-hour LeetCode-style technical (AI tools OK).
• 1-hour syntax/programming fundamentals (AI tools OK).
• 30-min with CEO.