2-7 years of experience in building and operating production systems.
Hands-on experience with agentic AI systems or LLM-based applications.
Full-stack development skills in Python, FastAPI, TypeScript, and React.
Proficient in ETL, data modeling, SQL, and PostgreSQL.
Experience with AWS and real-time data systems.
Strong ownership and judgment in technology application.
Background in financial research or capital markets is advantageous.
Responsibilities
Build and ship features for frontend applications and backend infrastructure.
Create data pipelines and tools for analysts to manage data sources.
Enhance agent-based parsing and extraction systems for reliability.
Own projects from data inspection to production releases and debugging.
Develop a company ontology and earnings research product.
Benefits
Full-time commitment required.
On-site work in New York City, five days a week.
Full Job Description
About the Role
Join a small, early-stage team building AI-powered research tools for professional investors, starting with healthcare. As a founding engineer, you will build the infrastructure and products that help AI agents turn diverse data sources into reliable, continuously updated industry models. What You'll Do
Build and ship features across frontend applications, real-time systems, and backend infrastructure.
Create data pipelines and internal tools that help analysts add sources and maintain sector coverage.
Improve agent-based parsing and extraction systems for greater capability and reliability.
Own projects end to end, including data inspection, quality assurance, instrumentation, production releases, and debugging.
Develop a company ontology and an earnings research product.
What We're Looking For
At least 2 years of experience building, shipping, and operating production systems, with up to approximately 7 years of professional experience.
Hands-on experience building and deploying agentic AI systems or LLM-based applications in production, including recent work on AI projects.
Full-stack capability across Python backend development, FastAPI or an equivalent framework, data pipelines, and TypeScript and React.
Experience with ETL, data modeling, SQL, relational database design and optimization, and PostgreSQL or similar systems.
Experience with AWS, real-time data systems, observability, monitoring, and debugging distributed systems.
Strong ownership, sound judgment about when to use AI agents versus deterministic systems, and willingness to work across unfamiliar technologies.
Financial research, capital markets, investment banking, or broader financial services experience is helpful. Familiarity with modern data tools, edge infrastructure, or AI/ML tooling is also a plus.
Must be a U.S. citizen and able to work on-site in New York City. Full-time commitment required.
Compensation & Benefits
Base salary: $156,000 to $182,000 annually. Visa sponsorship is not available. Location
On-site in New York City, New York, five days per week.
