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Founding Fullstack Engineer
hace 29 minutos
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 doBuild 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 mostStrong 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 & stackThere 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 roleTrue 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 applyThe 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
