Founding Engineer: Build End-to-End Fintech AI Platform

Eventualclimate

New York, Northern (NY, KY)

Hybrid

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Eventual is a seed-stage fintech startup building AI-powered home insurance prediction models, with teams in NYC and LA. You’ll ship features end-to-end, from backend APIs and data pipelines to frontend interfaces used by customers daily.

You’ll work closely with design, data science, and product to deliver impactful solutions, taking ownership of features from design through deployment and support as the product scales.

Qualifications

  • 3+ years of experience building and shipping production software.
  • Comfortable working across the stack, or strong in one area with willingness to stretch
  • Solid fundamentals in Python and/or TypeScript or equivalent
  • Experience with relational databases and clean API design
  • Works well with autonomy and takes ownership over end-to-end delivery
  • Bonus: experience at an early-stage company or on a 0→1 product

Responsibilities

  • Build and maintain backend services and APIs in FastAPI and PostgreSQL
  • Develop frontend components and flows in Next.js and Tailwind
  • Translate Figma designs into responsive, accessible interfaces
  • Integrate with external services including Stripe, Auth0, and Canopy Connect
  • Own features end-to-end: design, build, test, deploy, support
  • Help shape engineering practices and architecture as the team scales

Skills

Full stack development
Autonomy
Ownership
Python
TypeScript

Tools

FastAPI
PostgreSQL
Next.js
Tailwind
Stripe
Auth0
Canopy Connect

Job description

Eventual is a seed-stage fintech startup building AI-powered home insurance prediction models, with teams in NYC and LA. You’ll ship features end-to-end, from backend APIs and data pipelines to frontend interfaces used by customers daily.

You’ll work closely with design, data science, and product to deliver impactful solutions, taking ownership of features from design through deployment and support as the product scales.

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