About the Role
Join an early-stage AI-powered financial research company focused on healthcare as a founding engineer. You will build the infrastructure, tools, and systems that help AI agents transform diverse data sources into reliable, continuously updated industry research.
What You'll Do
Build and ship features across the frontend, real-time systems, and backend infrastructure.
Create data pipelines and tools that help analysts add sources and maintain industry coverage efficiently.
Improve AI agent parsing and extraction systems for greater capability and reliability.
Own projects end to end, from data inspection and quality assurance through 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 approximately 7 years or fewer of professional experience.
Hands-on experience building and deploying agentic AI systems or LLM applications in production, with recent AI project work.
Full-stack capability, including Python backend development with FastAPI or an equivalent framework, TypeScript, and React.
Experience with data pipelines, ETL, data modeling, SQL, and relational database design and optimization, such as PostgreSQL.
Experience with AWS, production observability, distributed systems debugging, and real-time data or streaming systems.
Strong ownership and sound judgment about when to use AI reasoning versus deterministic software.
Financial research, capital markets, investment banking, or broader financial services experience is a plus, as is experience with modern data tools, edge computing, or AI/ML infrastructure.
U.S. citizenship is required.
Compensation & Benefits
Base salary: $156,000 to $182,000 annually. Visa sponsorship is not available.
Location
On-site in New York, New York, five days per week. Candidates must be local or willing to relocate.