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Founding Engineer

Role overview

Summary

This role is for a founding engineer to build AI-powered research tools for professional investors, focusing initially on healthcare. You will develop infrastructure and products that enable AI agents to create reliable industry models from diverse data sources.

Qualifications

  • At least 2 years of experience building, shipping, and operating production systems.
  • 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.

Responsibilities

  • 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.

Key facts

Hard skills

Other skills

  • Collaboration

About the company

Clera Inc. logo

Clera Inc.

  • Job Boards & Talent Marketplaces
  • 11–50
Clera is an AI talent agent that represents job candidates and connects them directly with hiring managers at venture-backed startups. The platform uses artificial intelligence to match professionals with suitable career opportunities and facilitates introductions via email, iMessage, and WhatsApp, bypassing traditional job application processes.

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Job description

About the Role

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.

What You'll Do

  • 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.

What We're Looking For

  • 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.

Compensation & Benefits

Base salary: $156,000 to $182,000 annually. Visa sponsorship is not available.

Location

On-site in New York City, New York, five days per week.

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