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About the Role
Join an early-stage team building an AI-powered, source-backed model of the global economy, beginning with healthcare. As a Founding Engineer, you will build the infrastructure, tools, and systems that help AI agents turn diverse data sources into reliable, continuously updated industry research.
Responsibilities
- Ship features across the frontend, backend infrastructure, and real-time systems.
- Build data pipelines and tools that help analysts add sources and maintain industry coverage reliably.
- Improve agent-based parsing and extraction systems, including how they handle complex research tasks.
- Own work end to end, from data inspection and quality assurance through instrumentation, production releases, and debugging.
- Develop a company ontology and an initial earnings research product.
Requirements
- At least 2 years of experience building, shipping, and operating production systems, with approximately 7 years or less of professional experience.
- Hands-on experience deploying agentic AI systems or LLM-based applications in production, and sound judgment about when to use AI reasoning versus deterministic software.
- Full-stack capability, with depth in at least one area such as backend engineering, data infrastructure, applied AI, or product engineering.
- Python backend experience with FastAPI or an equivalent framework, plus TypeScript and React.
- Experience with ETL, data modeling, SQL, relational database design and optimization, and production monitoring and debugging.
- Familiarity with AWS, real-time data systems, and streaming updates; experience with modern data tools or edge infrastructure is a plus.
- Experience in software engineering at an investment firm, including recent AI project work, is required.
- Capital markets, financial research, or investment banking experience is a plus.
- Must be a U.S. citizen.
Skills
- Python
- FastAPI
- TypeScript
- React
- ETL
- Data Modeling
- SQL
- Relational Database Design
- Database Optimization
- Production Monitoring
- Debugging
- AWS
- Real-time Data Systems
- Streaming Updates
- Modern Data Tools
- Edge Infrastructure
- AI
- LLM
Location
- New York City, New York
Work Type
- On-site
Experience Level
- 2-7 years of professional experience
Salary/Compensations
- $156,000 to $182,000