Founding Engineer / Full-Stack Builder
Interview Strategist
Morges, SwitzerlandRemote4 months ago
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Job Type
temporary
Description
I’m building **Interview Strategist™**, an AI-powered career strategy platform built around the **Interview Strategist Method™**:
**Understand how hiring decisions are made. Stop being evaluated. Start influencing.**
The product concept, positioning, and go-to-market strategy are defined. I’m now looking for a **Founding Engineer / Full-Stack Builder** to take Interview Strategist™ from concept to a **live, sellable SaaS platform**.
## Tasks
**_Important upfront clarity_**
* ❌ This is **not a salaried role**
* ❌ This is **not a funded company (yet)**
* ✅ This is a **build-for-upside** opportunity with **EBITDA participation and exit upside**
If you enjoy building real products with real users—and sharing the upside—this
may be for you.
**_What you’ll build_**
Interview Strategist™ is a **web-based SaaS platform i**ntegrating **LLM / ChatGPT-type models** into structured, decision-driven user journeys.
You will be responsible for designing and building:
* A modern **full-stack web application**
* Structured AI workflows (not just chat)
* A clean, scalable, and well-documented architecture
* A system that can be maintained or extended by others if needed
## Requirements
**Core technical scope**
* Frontend: **React / Next.js** (or equivalent modern framework)
* Backend: **Node.js or Python** (FastAPI welcome)
* Integration of **OpenAI / LLM APIs** into production workflows
* User authentication, core flows, dashboards
* Cloud deployment (AWS / GCP / Vercel or similar)
* Version control, documentation, and basic DevOps hygiene
You don’t need to be an AI researcher—but you should be **comfortable turning
LLMs into real product logic**, not just demos.
This role is well suited if you:
* Have already built and shipped **web products**
* Are comfortable owning a system **end-to-end**
* Understand (or are eager to master):
* API-driven architectures
* Prompt-based workflows
* Cost / performance trade-offs with LLMs
* Enjoy autonomy, speed, and responsibility
Time commitment (realistic & transparent)
* **MVP build**: ~200–300 hours
* **Sellable v1**: ~350–500 hours total
* Target timeline: **max 6 months**
* Milestone-based delivery (short cycles, not waterfall)
## Benefits
What you get in return
* **Participation in annual EBITDA** (calculated on full-year results)
* **Participation in a future exit** (if the platform is sold)
* Full technical ownership of the build
If this resonates, send me:
* A short intro
* What you’ve built before (GitHub, projects, products)
* Your availability and motivation
This is for someone who wants to **build something real, learn fast, and share the
upside**.
This job is found at InterviewStack.io
Skills
next.jsfastapillmdashboardsawsgcpvercelllmsgo to marketgo to market strategy