Founding Engineer, AI Agents & Data Infrastructure
Overview
Join a three-person founding team in New York and build the full-stack systems powering agentic operations that handle thousands of jobs daily. Own work across frontend, data infrastructure, and AI orchestration, making AI agents dependable through reliable tooling, durable execution, and strong observability. This is a high-ownership, end-to-end role at a Y Combinator–backed company in financial research and healthcare data, where you will inspect data, ship improvements, and fix production issues. What sets this role apart: you will add a new information source on day one and ship a production module within 30 days.
What You'll Do6
- 1Build frontend features, data pipelines, and agent infrastructure across the entire stack.
- 2Ship real-time, customer-facing systems that keep users informed as information changes.
- 3Create internal tools and data pipelines for analysts to add sources and maintain sector coverage faster and more reliably.
- 4Improve tooling and capabilities that make AI agents more reliable and capable in production.
- 5Own projects end to end: inspect the data, QA and instrument your work, ship it, and fix it in production.
- 6Add a new information source on day one, ship parsing and extraction improvements within your first week, and build a company ontology and a core product module within 30 days.
Requirements10
- 1Proven track record building, shipping, and operating production software systems end-to-end.
- 2Hands-on experience using AI agents or LLM-based systems for real work in production or substantial projects.
- 3Experience building deterministic software tools and controls used alongside AI agent systems.
- 4Backend service development with Python and FastAPI (or equivalent Python frameworks) in production.
- 5Database, data pipeline, and data infrastructure experience, including relational and analytical data stores.
- 6Frontend development with TypeScript and React, including real-time customer-facing features.
- 7Experience building parsing, extraction, or data reconciliation systems from unstructured or semi-structured sources.
- 8Experience improving AI agent reliability, observability, or tool design for production agentic workflows.
- 9Cloud infrastructure and deployment experience with AWS, Cloudflare, or equivalent platforms.
- 10US work authorization required; visa sponsorship is not available.
Salary Insight
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