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About the Role
Join a three-person founding team in New York building the full-stack systems behind an agentic platform that processes thousands of jobs daily in the capital markets intelligence space. As a Founding Engineer, you'll have an outsized impact on how the company makes its AI agents dependable — through reliable tooling, durable execution, and strong observability. You'll own work spanning frontend, data infrastructure, and AI orchestration from day one. This is a high-ownership, high-velocity role at the earliest stage. You're expected to inspect data, ship improvements, QA your own work, and fix things in production when they break.
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 tooling and data pipelines that enable analysts to add sources and maintain sector coverage faster and more reliably.
- Improve the tools and capabilities that make AI agents more reliable and capable in production.
- Own projects end to end: from data inspection and instrumentation through to shipping and production support.
- Ship meaningful contributions within your first days — add a new information source on day one, improve parsing and extraction within week one, and deliver a company ontology and the first version of a core product feature within 30 days.
Requirements
- A track record of having built, shipped, and operated production software systems end to end — at any experience level, including new graduates.
- Hands-on experience using AI agents or LLM-based systems to accomplish real work in production or substantial side projects.
- Experience building deterministic software tools and controls used alongside AI/agent systems.
- Backend service development with Python and FastAPI (or equivalent Python frameworks) in production.
- Database, data pipeline, and data infrastructure experience across 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.
- Sound judgment about when an AI agent should reason versus when deterministic software should take over.
- US work authorization required — visa sponsorship is not available.
- Capital markets, financial data, or equity research domain experience.
- Experience with modern data stack tools such as dbt, Neon, MotherDuck, Turbopuffer, or similar.
- Experience with DBOS or durable execution frameworks.
- Experience building knowledge graphs, ontologies, or structured data models from unstructured information sources.
Skills
- Python
- FastAPI
- TypeScript
- React
- AWS
- Cloudflare
- dbt
- Neon
- MotherDuck
- Turbopuffer
- DBOS
Location
- New York, NY
Work Type
- On-site
Experience Level
- Any experience level
Salary/Compensations
- $150,000 – $175,000 USD
Benefits
- Founding team equity
About the Company
- Building the full-stack systems behind an agentic platform that processes thousands of jobs daily in the capital markets intelligence space.