2-7 years of experience in building and operating production systems.
Hands-on experience with deploying AI systems or LLM-based applications.
Proficient in full-stack engineering, including Python with FastAPI, TypeScript, and React.
Experience with data pipelines, ETL processes, and SQL databases like PostgreSQL.
Familiarity with AWS and monitoring distributed systems.
Strong ownership and engineering judgment in a fast-paced environment.
US citizenship required; experience in financial services is a plus.
Responsibilities
Build and ship features for frontend applications and backend services.
Create tools and pipelines for efficient data source management.
Enhance AI agent parsing and extraction systems.
Own projects from data inspection to production support.
Develop a company data model and initial earnings research product.
Benefits
Opportunity to work in a small, innovative team focused on AI in finance.
Hands-on experience with cutting-edge technology in a growing field.
Potential for significant impact on product development and company direction.
Collaborative environment with a focus on continuous learning and improvement.
Full Job Description
About the Role
Join a small, early-stage team building AI-powered financial research tools, initially focused on healthcare. You will help develop the infrastructure and applications that turn diverse data sources into reliable, continuously updated industry insights for professional investors. What You'll Do
Build and ship features across frontend applications, backend services, data pipelines, and real-time systems.
Create tools and pipelines that help analysts add data sources and maintain industry coverage efficiently.
Improve AI agent parsing and extraction systems, balancing model reasoning with deterministic software.
Own work end to end, including data inspection, quality assurance, instrumentation, deployment, and production support.
Develop a company data model and an initial earnings research product.
What We're Looking For
At least 2 years, and approximately 7 years or less, of professional experience building and operating production systems.
Hands-on experience deploying agentic AI systems or LLM-based applications in production.
Full-stack engineering ability, including Python backend development with FastAPI or an equivalent framework, TypeScript, and React.
Experience with data pipelines, ETL, data modeling, SQL, relational databases such as PostgreSQL, and real-time data systems.
Experience with AWS, production observability, monitoring, and debugging distributed systems.
Strong ownership, sound engineering judgment, and comfort working across unfamiliar systems on a fast-moving team.
US citizenship is required. Financial research, capital markets, investment banking, or broader financial services experience is a plus.
Experience with modern data tools, edge infrastructure, or AI/ML developer tools is also a plus.
Compensation & Benefits
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.
