Clera Build infrastructure and products for AI-powered research tools focused on healthcare investment. Develop data pipelines, real-time systems, and backend infrastructure to support AI agents and industry models.
Responsibilities
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.
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.
Qualification
At least 2 years of experience buildingExperience with ETLExperience with AWSStrong ownershipFinancial researchMust be a UFamiliarity with modern data tools
Required
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.
Preferred
Financial research, capital markets, investment banking, or broader financial services experience
Familiarity with modern data tools, edge infrastructure, or AI/ML tooling
