Founding Full-Stack Engineer (AI-Native) — Remote
Description
About Founding.dev
Founding.dev replaces expensive, bloated SaaS with AI-operable software built specifically for how each business operates.
Businesses tell us the tools they're trying to replace. We build software around their actual workflow, run and maintain it for a flat monthly fee, and they own the code and data. No per-seat pricing, no lock-in. If they leave, they keep everything.
The result: one system instead of a dozen subscriptions, and software costs cut by up to 70%. We're building the team that makes this the way every business gets software.
The role
This is not a take-a-ticket, close-a-ticket job. You'll be an early, senior engineer who owns real products end to end — architecture, code, infrastructure, and the customer on the other end.
You'll work on two fronts:
1. Our AI SaaS builder — the platform where LLM agents plan, build, deploy, and maintain full apps for non-technical business owners. Real distributed systems: agent orchestration, retrieval-grounded generation, live app previews, and a build-and-deploy pipeline safe enough to hand to someone who's never opened a terminal.
2. SaaS-replacement templates — our growing library of production-grade apps. We deploy one to replace a customer's off-the-shelf tool fast, then tailor it to them.
You'll talk to customers directly, ship things that work, and define your own work.
What you'll actually work on
Build and harden the AI agent platform: orchestration, agentic workflows, retrieval/memory (RAG), the plan → build → verify → deploy loop, and the connectors that let agents use third-party tools on a customer's behalf.
Design the reusable SaaS-replacement templates we deploy and customize per client.
Own infrastructure. This is an infra-heavy product — isolated per-project cloud environments, build/deploy automation, scaling, reliability, and security all sit close to the code.
Make generated software fast, correct, and safe to own. Real quality gates, real verification, real security — customers depend on apps they didn't write.
Contribute to our open-source template library, and turn "I'm drowning in SaaS fees" into shipped, owned software.
Our stack
Frontend: React + TypeScript, Tailwind, real-time UI (WebSockets)
Backend: Node.js / Express, MongoDB, Postgres (with vector search), Redis + job queues
AI: multiple LLM providers, agentic workflows and orchestration, RAG (vector + keyword retrieval), embeddings, tool-use / connector integrations
Templates & customer apps: commonly Python (Django/FastAPI) and Node/Next.js — you'll build across stacks
Infra / DevOps: containerized cloud infrastructure, isolated per-project environments, CI/CD, GitHub integration, AWS
You don't need to have shipped this exact stack. You do need to be dangerous in TypeScript/Node and React, comfortable in Python, solid on infra/DevOps, and curious about how LLM agent systems work under the hood.
What we're looking for
Strong full-stack fundamentals in Node.js + React/TypeScript, and solid Python.
You've built with LLMs and understand how they work — agentic workflows, context, retrieval, tool use, evaluation, and where models break. Not just prompting a chatbot.
Real infra/DevOps chops — containerization, CI/CD, cloud deployment, monitoring, scaling. You own what runs in production, not just what compiles.
You own correctness. You don't ship code you can't explain. LLMs generate fast and confidently; verification, tests, and judgment are the human's job.
You work autonomously — you define the work, make the architecture call, and answer for the outcome.
You've shipped real things to real users, with public or open-source code to show.
You can talk to a non-technical business owner without jargon and turn their pain into software.
The tools change every month. You stay sharp on purpose.
Nice to have
Building LLM agents, agentic workflows, RAG systems, or tool/connector integrations
Distributed systems, job queues, containerized/multi-tenant workloads
Strong cloud/DevOps or platform-engineering background
Early engineer or technical founder experience
Why join
Real ownership — of products, architecture, infra, and outcomes. No ticket queues, no legacy mess, no middlemen.
Frontier work — an AI system that autonomously ships production software, not a chatbot bolted onto a form.
Direct impact — the software you build replaces a customer's expensive subscription and saves them money every month.
AI-native culture — we use LLMs aggressively and hold a high bar for what ships.
Fully remote, full-time.
If you want to help us kill the SaaS Tax, apply with your GitHub/portfolio and one thing you've shipped that you're proud of.
