About the Role
This is a founding engineering role at a three-person, Y Combinator–backed startup building an AI-native financial research platform for the healthcare sector. The product uses AI agents to continuously transform disparate public and private data sources into always-updated, source-backed industry models for professional investors — think banks, hedge funds, and asset managers.
You'll be the third member of a tight-knit technical team based in New York, owning infrastructure, tooling, and the systems that make AI agents reliable and capable at scale. This is a high-ownership, high-impact role with genuine influence over the product and technical direction from day one.
What You'll Do
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Work across the entire stack — shipping frontend features, real-time systems, and backend infrastructure.
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Build data pipelines and internal tooling that enable analysts to onboard new data sources and maintain sector coverage faster and more reliably.
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Improve agentic parsing and extraction systems, making AI agents more capable and reliable in production.
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Own work end to end: inspect data, QA your builds, instrument them, ship them, and fix issues in production.
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Day one: integrate a new information source into the platform.
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Week one: ship a measurable improvement to the speed or reliability of the agentic systems.
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Within 30 days: build a company ontology and ship the first version of a key product feature.
What We're Looking For
Dealbreakers (must-haves):
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2+ years building, shipping, and operating production systems end-to-end.
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Hands-on experience building and deploying agentic AI or LLM-based applications in production.
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Full-stack capability: backend systems, data pipelines, and frontend development.
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US citizenship required (no visa sponsorship available).
Required skills & experience:
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Python backend development with FastAPI or an equivalent web framework.
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Data infrastructure and pipeline development (ETL, data modeling, SQL).
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TypeScript and React frontend development.
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Database design and optimization with PostgreSQL or a similar relational database.
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Production observability, monitoring, and debugging of distributed systems.
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AWS cloud infrastructure and deployment.
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Experience with real-time data systems and streaming updates.
What sets you apart:
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Strong judgment about when agents should reason versus when deterministic software is the right call.
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Deep ownership mentality — you want responsibility for the whole result, not just your piece.
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Excitement about orchestrating coding agents in parallel.
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Comfort operating across unfamiliar infrastructure and scaling problems.
Nice to have:
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Capital markets, financial research, or investment banking domain experience.
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Experience with dbt, MotherDuck, Turbopuffer, or similar modern data tools.
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Cloudflare or edge computing infrastructure experience.
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Experience building tools and abstractions for AI/ML systems.
Compensation & Benefits
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Salary: $156,000 – $182,000 USD annually
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Early-stage equity commensurate with a founding team role
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Full-time position
Location
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On-site in New York, NY — this is not a remote role.
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Visa sponsorship is not available; US citizenship is required.
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