Founding Engineer

Clera

  • New York, New York
  • 9 days ago

    Highlights

    Hands-on experience building and deploying production agentic AI systems or LLM-based applications, with good judgment about when to use AI and when to use deterministic software. Full-stack capability, including Python backend development with FastAPI or an equivalent framework, TypeScript, React, data pipelines, and SQL.

    Numbers & Facts

    LocationNew York, New York
    Websitehttps://www.getclera.com/

    Description

    About the Role

    Join an early-stage financial technology team building AI-powered research tools for professional investors, beginning with the healthcare sector. As a founding engineer, you will help develop the infrastructure and systems that turn diverse data sources into reliable, continuously updated industry models.

    What You'll Do

    • Build and ship features across frontend applications, backend services, and real-time systems.

    • Create data pipelines and internal tools that help analysts add information sources and maintain industry coverage.

    • Improve agent-based parsing and extraction systems for greater reliability and capability.

    • Own work end to end, including data inspection, quality assurance, instrumentation, production releases, and ongoing fixes.

    • 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 approximately 7 years or fewer of professional experience.

    • Hands-on experience building and deploying production agentic AI systems or LLM-based applications, with good judgment about when to use AI and when to use deterministic software.

    • Full-stack capability, including Python backend development with FastAPI or an equivalent framework, TypeScript, React, data pipelines, and SQL.

    • Experience with relational database design and optimization, preferably PostgreSQL, plus AWS infrastructure and deployment.

    • Experience with production observability, distributed systems debugging, and real-time data or streaming updates.

    • Strong ownership and depth in at least one of backend engineering, data infrastructure, applied AI, or product engineering.

    • Capital markets, equity research, investment banking, or broader financial services experience is a plus. Familiarity with modern data tools, edge computing, or AI/ML tooling is also useful.

    • U.S. citizenship is required, along with a full-time commitment and ability to work on-site in New York City.

    Compensation & Benefits

    Base salary is $156,000 to $182,000 annually. Visa sponsorship is not available. Equity details were not provided.

    Location

    On-site in New York, New York, five days per week. Candidates must be local or willing to relocate.

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