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.