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About the Role
Join a three-person founding team in New York to build the full-stack systems behind an AI-native financial research terminal focused on the healthcare sector. This is a Founding Engineer role at a Y Combinator–backed seed-stage startup, offering ownership over architecture, product, and reliability from day one. You will shape how the company makes its AI agents dependable through reliable tooling, durable execution, and strong observability, working across frontend, data infrastructure, and AI orchestration. The platform processes thousands of automated research jobs daily and serves institutional investors.
Responsibilities
- Work across the entire stack to ship frontend features, data pipelines, and agent infrastructure.
- Build real-time, customer-facing systems that keep users informed as information changes.
- Create internal tools and data pipelines that enable analysts to add sources and maintain sector coverage faster and more reliably.
- Improve the tooling and capabilities that make AI agents more reliable and production-ready.
- Own projects end to end: inspect data, QA and instrument what you build, ship it, and fix it in production when it breaks.
- Add a new information source on day one.
- Ship improvements to parsing and extraction within the first week.
- Build the company's core data ontology and the first version of a key product surface within the first 30 days.
Requirements
- Demonstrated experience building, shipping, and operating production software systems end-to-end.
- Hands-on experience using AI agents or LLM-based systems to accomplish real work in production or substantial projects.
- Experience building deterministic software tools and controls used alongside AI agent systems.
- US work authorization required — visa sponsorship is not available.
- Backend service development with Python and FastAPI (or equivalent Python frameworks) in production.
- Database, data pipeline, and data infrastructure experience — relational and analytical data stores.
- Experience improving AI agent reliability, observability, or tool design for production agentic workflows.
- Frontend development with TypeScript and React, including real-time customer-facing features.
- Experience building parsing, extraction, or data reconciliation systems from unstructured or semi-structured sources.
- Cloud infrastructure and deployment experience with AWS, Cloudflare, or equivalent platforms.
- Capital markets, financial data, or equity research domain experience (nice to have).
- Experience with modern data stack tools: dbt, Neon, MotherDuck, Turbopuffer, or similar (nice to have).
- Experience building knowledge graphs, ontologies, or structured data models from unstructured information sources (nice to have).
Skills
- Python
- FastAPI
- TypeScript
- React
- AWS
- Cloudflare
- DBOS
- PostgreSQL
- Neon
- MotherDuck
- Turbopuffer
- dbt
- AI agents
- LLM-based systems
- Data pipelines
- Data infrastructure
- Parsing
- Extraction
- Data reconciliation
- Knowledge graphs
- Ontologies
- Structured data models
Location
- New York, NY
Work Type
- On-site
- Full-time
Experience Level
- Founding Engineer
- Seed-stage startup
Salary/Compensations
- $150,000 – $175,000 per year
Benefits
- Founding team equity
- Outsized scope and ownership from day one
About the Company
- YC-backed seed-stage startup
- AI-native financial research terminal focused on the healthcare sector
- Platform processes thousands of automated research jobs daily
- Serves institutional investors including banks, hedge funds, and asset managers