Clera
Founding Engineer
New York, Remote. Posted 9 days ago
The role
You will build infrastructure and products to help AI agents turn diverse data sources into industry models. You will build features across frontend applications, real-time systems, and backend infrastructure.
What you will do
- Build and ship features across frontend applications, real-time systems, and backend infrastructure
- Create data pipelines and internal tools
- Improve agent-based parsing and extraction systems
- Own projects end to end including data inspection, quality assurance, instrumentation, production releases, and debugging
- Develop a company ontology and an earnings research product
Required qualifications
- 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
- 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
- Willingness to work across unfamiliar technologies
Nice to have
- Financial research, capital markets, investment banking, or broader financial services experience
- Familiarity with modern data tools, edge infrastructure, or AI/ML tooling
Before you apply
- Must be a U.S. citizen
- Visa sponsorship is not available
About the company
clera is a small, early-stage team building AI-powered research tools for professional investors, starting with healthcare.