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# Founding Engineer

- **Company:** LAUNCHPAD RECRUITING LABS, LLC
- **Location:** New York, NY, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Systems Engineering, Python (Programming Language), PostgreSQL, Systems Architecture, ReactJS, Express.js, Reliability of Systems, Backend, Build Management, AngularJS
- **Published:** October 13, 2026
- **Apply:** https://www.juju.com/job/15_e82765b15

## About the Role

* Proven experience shipping 0*1 products with real production user traction

 * Strong backend or full-stack engineering background

 * Experience building and deploying AI systems or agents into production

 * Startup background (Seed * Series C preferred)

 * Strong system design ability - scalable architecture, edge cases, reliability

 * Comfortable operating in ambiguity with founder-level ownership

 * Track record of shipping quickly and iterating in production environments, Most likely someone who has:

 * Worked in early-stage startups or accelerator environments

 * Built and shipped production AI / backend systems end-to-end

 * Operated with founder-level ownership (not just feature delivery)

 * Strong opinions on system design and building for scale

 * Experience turning messy operational problems into working systems

## Description

We're hiring a Founding Engineer to join a small, elite team building mission-critical AI systems from the ground up.

This is a true 0*1, founder-mentality role - ideal for someone who thrives in ambiguity, owns problems end-to-end, and has already shipped production systems with real user traction.

The company is a Series A business modernising an $11T alternative investments market that still runs on heavily manual, legacy processes. The platform is already processing $5B+ in transactions and is backed by top-tier investors including Google Ventures and Y Combinator.

The Role

You'll sit at the core of the engineering team building AI systems that replace manual operational workflows with scalable automation.

Key responsibilities:

 * Build and deploy AI-powered agents to automate ingestion, parsing, and standardisation of complex financial documents

 * Own end-to-end system architecture (design, build, deploy, operate)

 * Lead consolidation of multiple engineering systems into a unified, scalable platform

 * Improve CI/CD pipelines to increase deployment velocity and system reliability

 * Work directly with operations teams to map manual workflows into automated systems

 * Own production systems handling real financial data and live customer workflows

Tech Environment

 * Python

 * Angular

 * React

 * Express.js

 * PostgreSQL

 * AWS

The team care far more about engineering ownership, product thinking, and production experience than matching every technology exactly.