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

Responsibilities:

• Design and build full-stack systems for the 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 the Brooklyn Office 5 days a week.

Preferred Qualifications:

• Based in the United States with the ability to work remote or from the Brooklyn office.
• 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.