About the RoleThis is a founding engineering role at a three-person, Y Combinator-backed startup building an AI-native financial research terminal focused on the healthcare sector. You will work directly alongside the founders, owning the infrastructure, tooling, and agentic systems that turn disparate data sources into a continuously updated, source-backed model of entire industries. This is a high-leverage, end-to-end role where your work will shape the product from day one.
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 allow analysts to add new sources and maintain sector coverage faster and more reliably.
- Improve agentic parsing and extraction systems, making AI agents more capable and reliable.
- Own work end to end: inspecting data, QA-ing builds, instrumenting, shipping, and fixing issues in production.
- In your first days, onboard a new information source; in your first weeks, ship a measurable improvement to agentic system speed or reliability.
- Within 30 days, build a company ontology and ship the first version of a core product feature.
What We're Looking For- 2 to 7 years of professional software engineering experience with a proven track record of 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.
- Strong experience with data infrastructure and pipelines, including ETL, data modeling, and SQL.
- Database design and optimization experience with PostgreSQL or similar relational databases.
- Experience with AWS cloud infrastructure, production observability, monitoring, and debugging of distributed systems.
- Familiarity with real-time data systems and streaming updates.
- Strong judgment about when AI agents should reason versus when deterministic software is the right tool.
- Deep ownership mentality, with comfort operating in ambiguity on a small, fast-moving team.
- Experience in capital markets, equity research, investment banking, or financial services is a strong plus.
- Familiarity with modern data tools such as dbt, columnar databases, or vector search systems is a plus.
- Must be a US citizen; visa sponsorship is not available.
Compensation & BenefitsSalary range:
$156,000 to $182,000 USD annually. Equity is expected given the founding-team nature of the role. Visa sponsorship is not available.
LocationOn-site in
New York City, five days per week. Candidates must already be local or willing to relocate.
