About the Role
Join an early-stage AI-powered financial research company focused on healthcare as a founding engineer. You will build the infrastructure, tools, and systems that help AI agents transform diverse data sources into reliable, continuously updated industry research.
What You'll Do
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Build and ship features across the frontend, real-time systems, and backend infrastructure.
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Create data pipelines and tools that help analysts add sources and maintain industry coverage efficiently.
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Improve AI agent parsing and extraction systems for greater capability and reliability.
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Own projects end to end, from data inspection and quality assurance through instrumentation, production releases, and debugging.
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Develop a company ontology and an 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 years or fewer of professional experience.
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Hands-on experience building and deploying agentic AI systems or LLM applications in production, with recent AI project work.
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Full-stack capability, including Python backend development with FastAPI or an equivalent framework, TypeScript, and React.
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Experience with data pipelines, ETL, data modeling, SQL, and relational database design and optimization, such as PostgreSQL.
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Experience with AWS, production observability, distributed systems debugging, and real-time data or streaming systems.
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Strong ownership and sound judgment about when to use AI reasoning versus deterministic software.
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Financial research, capital markets, investment banking, or broader financial services experience is a plus, as is experience with modern data tools, edge computing, or AI/ML infrastructure.
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U.S. citizenship is required.
Compensation & Benefits
Base salary: $156,000 to $182,000 annually. Visa sponsorship is not available.
Location
On-site in New York, New York, five days per week. Candidates must be local or willing to relocate.
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