Founding Engineer
Indexed description
What You'll Do
- Work across the full stack — shipping frontend features, real-time systems, and backend infrastructure.
- Build data pipelines and internal tools that help analysts onboard new sources and maintain sector coverage faster and more reliably.
- Improve agentic parsing and extraction systems, making AI agents more capable and reliable at processing complex financial data.
- Own work end to end: inspecting data, QA-ing what you build, instrumenting it, shipping it, and fixing it in production.
- In your first 30 days: add a new information source, improve agentic system speed or reliability, and build a company ontology with a first-version data feature.
- 2+ years of hands-on experience building, shipping, and operating production systems end to end.
- Practical experience building and deploying agentic AI or LLM-based applications in production.
- Full-stack capability: Python backend (FastAPI or equivalent), TypeScript/React frontend, and data pipeline development.
- Strong data infrastructure skills — ETL, data modeling, SQL, and PostgreSQL or similar relational databases.
- Experience with AWS cloud infrastructure, deployment, and production observability/debugging.
- Familiarity with real-time or streaming data systems.
- Strong judgment about when AI agents should reason versus when deterministic software is the right tool.
- Deep ownership mentality — you want accountability for the whole result, not just a slice of it.
- Bonus: capital markets, equity research, or investment banking domain experience.
- Bonus: experience with modern data tools (dbt, columnar/vector databases), edge computing infrastructure, or AI/ML system abstractions.
- Must be authorized to work in the US; visa sponsorship is not available.
Location
On-site in New York, NY.
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