Founding Fullstack Engineer (Product Focus)

Product: AI-Native Real Estate Intelligence Platform Stage: Seed / Idea Stage Ukrainian is a plus Location: Remote (Europe) Our client is an early-stage team building a product for the real estate market. Their immediate goal is to quickly build and validate a working product — something users can see, use, and give feedback on. This is a founding, hands-on engineering role. The team is not looking for an Architect, a Manager, or a specialized AI/ML engineer. They are looking for a strong product-minded engineer who enjoys building from scratch in conditions of uncertainty. 🚀 What you’ll do Build a product from 0 → 1 together with the founders Own features end-to-end: backend, frontend, integrations, basic infrastructure Make pragmatic technical decisions without a fixed stack or strict requirements Iterate fast: ship, get feedback, improve Contribute to product shaping, not just task execution 🧠 What matters most Strong experience as a Senior Fullstack / Product Engineer Previous experience building MVPs or early-stage products Comfort working without a predefined tech stack Ability to balance speed and quality Hands-on mindset — this is not a management role This role is about shipping a real product, not designing perfect architecture upfront. 🧩 Tech & stack There is no fixed stack yet. The engineer will help choose tools pragmatically based on product needs. Typical areas of responsibility: Backend APIs and business logic Frontend (React or similar frameworks) Databases and third-party integrations Basic cloud setup and deployments Experience with data-heavy products, analytics, or AI is a nice to have, but not the focus at this stage. 🌱 Why this role True founding engineer ownership Direct collaboration with the founders High autonomy and fast decision-making Opportunity to shape both the product and the engineering foundations 📩 How to apply The team would love to see: Products or MVPs built from scratch Examples of end-to-end ownership Startup or early-stage experience (especially in ambiguous environments) 🔴 This role is not for: Pure frontend engineers Data / ML / AI specialists looking for model-centric work Engineers who prefer fully defined requirements and fixed stacks Originally posted on Himalayas