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.