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.
