About this role
About the Role
Join a small, early-stage team building AI-powered research tools for professional investors, initially focused on healthcare. As a founding engineer, you will develop the infrastructure and product systems that help AI agents turn diverse data sources into reliable, continuously updated industry models.
What You'll Do
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Build and ship product features across frontend, backend, and real-time systems.
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Create data pipelines and internal tools that make it faster and more reliable to add sources and maintain industry coverage.
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Improve AI agent parsing and extraction systems, balancing agent reasoning with deterministic software.
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Own work end to end, including data inspection, quality assurance, instrumentation, production releases, and ongoing fixes.
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Develop a company ontology and an initial earnings research product.
What We're Looking For
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At least 2 years of experience building, shipping, and operating production systems, with approximately 7 or fewer years of professional experience.
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Hands-on experience building and deploying agentic AI systems or LLM-based applications in production.
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Full-stack capability, including Python with FastAPI or an equivalent framework, TypeScript, React, backend systems, and data pipelines.
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Experience with ETL, data modeling, SQL, relational database design and optimization, and production observability and debugging.
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Experience with AWS, deployment, and real-time or streaming data systems.
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Strong ownership and production judgment, with depth in backend engineering, data infrastructure, applied AI, or product engineering.
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Capital markets, financial research, investment banking, or broader financial services experience is a plus. Familiarity with modern data tools, edge infrastructure, or AI/ML tooling is also helpful.
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Must be a US citizen and able to work on-site in New York City.
Compensation & Benefits
Base salary: $156,000 to $182,000 annually. Visa sponsorship is not available.
Location
On-site in New York City, New York.