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Founding engineer / full-stack builder

Morges
Interview Strategist
Inserat online seit: 10 Juni
Beschreibung

Ph3Overview /h3 pI’m building bInterview Strategist™ /b, an AI-powered career strategy platform built around the bInterview Strategist Method™ /b. /p pbUnderstand how hiring decisions are made. Stop being evaluated. Start influencing. /b /p pThe product concept, positioning, and go-to-market strategy are defined. I’m now looking for a bFounding Engineer / Full-Stack Builder /b to take Interview Strategist™ from concept to a blive, sellable SaaS platform /b. /p h3What you’ll build /h3 pInterview Strategist™ is a web-based SaaS platform i ntegrating bLLM / ChatGPT-type models /b into structured, decision-driven user journeys. /p ul liA modern bfull-stack web application /b /li liStructured AI workflows (not just chat) /li liA clean, scalable, and well-documented architecture /li liA system that can be maintained or extended by others if needed /li /ul h3Responsibilities /h3 pYou will be responsible for designing and building: /p ul liA modern bfull-stack web application /b /li liStructured AI workflows (not just chat) /li liA clean, scalable, and well-documented architecture /li liA system that can be maintained or extended by others if needed /li /ul h3Requirements /h3 pbCore technical scope /b /p ul liFrontend: bReact / Next.js /b (or equivalent modern framework) /li liBackend: bNode.js or Python /b (FastAPI welcome) /li liIntegration of bOpenAI / LLM APIs /b into production workflows /li liUser authentication, core flows, dashboards /li liCloud deployment (AWS / GCP / Vercel or similar) /li liVersion control, documentation, and basic DevOps hygiene /li /ul pYou don’t need to be an AI researcher—but you should be bcomfortable turning LLMs into real product logic /b, not just demos. /p pThis role is well suited if you: /p ul liHave already built and shipped bweb products /b /li liAre comfortable owning a system bend-to-end /b /li liUnderstand (or are eager to master): /li liAPI-driven architectures /li liPrompt-based workflows /li liCost / performance trade-offs with LLMs /li liEnjoy autonomy, speed, and responsibility /li /ul pTime commitment (realistic transparent) /p ul libMVP build /b: ~200–300 hours /li libSellable v1 /b: ~350–500 hours total /li liTarget timeline: bmax 6 months /b /li liMilestone-based delivery (short cycles, not waterfall) /li /ul h3Benefits /h3 pWhat you get in return /p ul libParticipation in annual EBITDA /b (calculated on full-year results) /li libParticipation in a future exit /b (if the platform is sold) /li liFull technical ownership of the build /li /ul pIf this resonates, send me: /p ul liA short intro /li liWhat you’ve built before (GitHub, projects, products) /li liYour availability and motivation /li /ul pThis is for someone who wants to bbuild something real, learn fast, and share the upside /b. /p /p #J-18808-Ljbffr

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