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 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.