Founding Engineer

About the Role

Join a small, early-stage team building AI-powered research tools for professional investors, starting with healthcare. As a founding engineer, you will build the infrastructure and products that help AI agents turn diverse data sources into reliable, continuously updated industry models.

What You'll Do

• Build and ship features across frontend applications, real-time systems, and backend infrastructure.
• Create data pipelines and internal tools that help analysts add sources and maintain sector coverage.
• Improve agent-based parsing and extraction systems for greater capability and reliability.
• Own projects end to end, including data inspection, quality assurance, instrumentation, production releases, and debugging.
• Develop a company ontology and an earnings research product.

What We're Looking For

• At least 2 years of experience building, shipping, and operating production systems, with up to approximately 7 years of professional experience.
• Hands-on experience building and deploying agentic AI systems or LLM-based applications in production, including recent work on AI projects.
• Full-stack capability across Python backend development, FastAPI or an equivalent framework, data pipelines, and TypeScript and React.
• Experience with ETL, data modeling, SQL, relational database design and optimization, and PostgreSQL or similar systems.
• Experience with AWS, real-time data systems, observability, monitoring, and debugging distributed systems.
• Strong ownership, sound judgment about when to use AI agents versus deterministic systems, and willingness to work across unfamiliar technologies.
• Financial research, capital markets, investment banking, or broader financial services experience is helpful. Familiarity with modern data tools, edge infrastructure, or AI/ML tooling is also a plus.
• Must be a U.S. citizen and able to work on-site in New York City. Full-time commitment required.