23 hours ago
New York, NY, USAMid Level / Senior
Base Salary
$156k - $182k/yr
Responsibilities
- 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.
- Improve AI agent parsing and extraction systems using model reasoning and deterministic software.
- Own work end to end, including data inspection, quality assurance, instrumentation, deployment, and production support.
- Develop the company data model and an initial earnings research product.
Requirements
- 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 with Python backend development using 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, broader financial-services experience, modern data tools, edge infrastructure, or AI/ML developer tools are pluses.
Benefits
- Salary is $156,000 to $182,000 annually.
- On-site in New York, New York, five days per week; candidates must be local or willing to relocate.
- Visa sponsorship is not available.