Founding Engineer / Full-Stack Builder
Founding Engineer / Full-Stack Builder
Founding Engineer / Full-Stack Builder
Founding Engineer / Full-Stack Builder
Interview Strategist
Personaldienstleistungen und -beratung
Morges
- Art der Beschäftigung: Teilzeit
- Home-Office
Founding Engineer / Full-Stack Builder
Über diesen Job
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 integrating 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.
