Founding Engineer

Clera

$156K — $182K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of experience in building and operating production systems end-to-end.
  • Hands-on development of agentic AI or LLM applications in a production environment.
  • Full-stack development skills encompassing backend, data pipelines, and frontend.
  • Proficient in Python backend development with FastAPI or similar.
  • Experience with data infrastructure, ETL processes, and SQL.
  • Skilled in TypeScript and React for frontend development.
  • Familiarity with PostgreSQL for database design and optimization.

Responsibilities

  • Ship features across the full technology stack, from frontend to backend.
  • Construct data pipelines and tools to streamline analyst workflows for data integration.
  • Enhance parsing and extraction systems for more reliable AI agent performance.
  • Take ownership of projects from inception to deployment, including QA and production fixes.
  • Integrate new information sources into the platform promptly.
  • Implement measurable improvements to systems within the first week.
  • Develop a foundational ontology and deliver a key product feature early in your tenure.

Benefits

  • Early-stage equity opportunity reflective of a founding team role.
  • Full-time employment with a close-knit team dynamic.
Full Job Description
About the Role

This is a founding engineering role at a three-person, Y Combinator-backed startup building an AI-native financial research platform for the healthcare sector. The product uses AI agents to continuously transform disparate public and private data sources into always-updated, source-backed industry models for professional investors - think banks, hedge funds, and asset managers.

You'll be the third member of a tight-knit technical team based in New York, owning infrastructure, tooling, and the systems that make AI agents reliable and capable at scale. This is a high-ownership, high-impact role with genuine influence over the product and technical direction from day one.
What You'll Do
  • Work across the entire stack - shipping frontend features, real-time systems, and backend infrastructure.
  • Build data pipelines and internal tooling that enable analysts to onboard new data sources and maintain sector coverage faster and more reliably.
  • Improve agentic parsing and extraction systems, making AI agents more capable and reliable in production.
  • Own work end to end: inspect data, QA your builds, instrument them, ship them, and fix issues in production.
  • Day one: integrate a new information source into the platform.
  • Week one: ship a measurable improvement to the speed or reliability of the agentic systems.
  • Within 30 days: build a company ontology and ship the first version of a key product feature.
What We're Looking For

Dealbreakers (must-haves):
  • 2+ years building, shipping, and operating production systems end-to-end.
  • Hands-on experience building and deploying agentic AI or LLM-based applications in production.
  • Full-stack capability: backend systems, data pipelines, and frontend development.
  • US citizenship required (no visa sponsorship available).

Required skills & experience:
  • Python backend development with FastAPI or an equivalent web framework.
  • Data infrastructure and pipeline development (ETL, data modeling, SQL).
  • TypeScript and React frontend development.
  • Database design and optimization with PostgreSQL or a similar relational database.
  • Production observability, monitoring, and debugging of distributed systems.
  • AWS cloud infrastructure and deployment.
  • Experience with real-time data systems and streaming updates.

What sets you apart:
  • Strong judgment about when agents should reason versus when deterministic software is the right call.
  • Deep ownership mentality - you want responsibility for the whole result, not just your piece.
  • Excitement about orchestrating coding agents in parallel.
  • Comfort operating across unfamiliar infrastructure and scaling problems.

Nice to have:
  • Capital markets, financial research, or investment banking domain experience.
  • Experience with dbt, MotherDuck, Turbopuffer, or similar modern data tools.
  • Cloudflare or edge computing infrastructure experience.
  • Experience building tools and abstractions for AI/ML systems.
Compensation & Benefits
  • Salary: $156,000 - $182,000 USD annually
  • Early-stage equity commensurate with a founding team role
  • Full-time position
Location
  • On-site in New York, NY - this is not a remote role.
  • Visa sponsorship is not available; US citizenship is required.

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