Founding Engineer

About the role

This is a founding engineering role at a Y Combinator–backed, AI-native financial research platform focused on healthcare investing. You'll be one of the first engineers on a three-person team, owning the infrastructure, tools, and systems that make AI agents reliable and capable at scale. The work directly shapes the core product used by professional investors.

Responsibilities

• Work across the full stack — shipping frontend features, real-time systems, and backend infrastructure.
• Build data pipelines and internal tooling that help analysts add new sources and maintain sector coverage faster and more reliably.
• Improve agentic parsing and extraction systems to make AI agents more capable and dependable in production.
• Own work end to end: inspecting data, QA-ing your builds, instrumenting, shipping, and fixing issues in production.
• Contribute immediately — adding a new data source on day one, shipping a reliability or speed improvement within the first week, and delivering a company ontology and first version of a key product feature within 30 days.

Requirements

• 2+ years of experience building, shipping, and operating production systems end-to-end.
• Hands-on experience building and deploying agentic AI or LLM-based applications in production.
• Full-stack capability: Python backend (FastAPI or equivalent), TypeScript and React frontend, and data pipeline development.
• Strong grasp of data infrastructure: ETL, data modeling, SQL, and PostgreSQL or similar relational databases.
• Production observability, monitoring, and debugging of distributed systems.
• Experience with AWS cloud infrastructure and deployment.
• Comfort with real-time data systems and streaming updates.
• Strong judgment about when AI agents should reason versus when deterministic logic is the right tool.
• Deep ownership mentality — you want responsibility for the whole outcome, not just your slice.
• US citizenship required; no visa sponsorship available.

Skills

• Bonus: Capital markets, equity research, or financial services domain experience.
• Bonus: Familiarity with modern data tools (dbt, columnar stores, vector databases).
• Bonus: Edge computing or Cloudflare experience.

Pay

Salary range: $156,000 – $182,000 USD annually.

Location

On-site in New York, United States.