Founding Engineer (m/f/d) – Full-Stack & AI

Founding Engineer (m/f/d) – Full-Stack & AI

Berlin Vollzeit 60000 - 80000 € / Jahr (geschätzt) Kein Homeoffice möglich
neospaces

Auf einen Blick

  • Aufgaben: Entwickle eine innovative Plattform für die Immobilienbranche mit modernster Technologie.
  • Unternehmen: Neues, dynamisches Unternehmen im Bereich Gewerbeimmobilien mit flacher Hierarchie.
  • Vorteile: Beteiligung am Unternehmen, wettbewerbsfähiges Gehalt und totale Produktverantwortung.
  • Weitere Informationen: Gestalte eine Kategorie in einer Branche mit über 100 Milliarden Euro Umsatz.
  • Warum dieser Job: Sei der erste Ingenieur und forme die Zukunft der Immobilienvermittlung.
  • Qualifikationen: Mindestens 3 Jahre Erfahrung in der Softwareentwicklung und tiefes Full-Stack-Wissen.

Das prognostizierte Gehalt liegt zwischen 60000 - 80000 € pro Jahr.

  • Engineering
  • Founding Engineer (m/f/d) – Full-Stack & AI
  • Berlin
  • On-Site Full-time Senior

About The Role neospaces is a new kind of commercial real estate brokerage.

Proprietary technology.

Personal dedication.

Nationwide reach.

For brands that want the perfect location — and owners looking for the perfect tenant.

Most commercial brokers still work like it's 2005 — spreadsheets, cold calls, gut feeling.

We're building the operating system for a new kind of brokerage: AI-powered matching, automated qualification, agentic workflows, structured market data.

The platform doesn't exist yet at the depth we're going for.

That's why we need you.

We're looking for our Founding Engineer — the first hire who owns the product end-to-end.

You won't be one of fifty.

You'll be the one.

You build the foundation that the next ten engineers stand on, the platform that the brokerage runs on, and the technology that makes neospaces uncopyable.

This is not a job for someone who wants a roadmap handed to them.

This is for someone who wants to define it.

Responsibilities

  • Own the product end-to-end: Architecture, frontend, backend, data layer, AI integrations, deployment. You ship.
  • Build the platform from the ground up: Next. js, Supabase, Claude API, Inngest, Pinecone — our stack is set, the product is not. You make it real.
  • Design the AI layer: Matching engines, agentic workflows, retrieval pipelines, structured extraction from unstructured commercial real estate data. This is where the moat lives.
  • Ship fast, ship often: Weekly releases, tight feedback loops with the brokerage team, no committees, no quarterly planning theater.
  • Set engineering standards: You define how we build — code quality, testing, deployment, monitoring. You're the one the next hires learn from.
  • Work directly with founders: Product, strategy, prioritization — you sit at the table, not in a ticket queue.
  • Talk to users: Our brokers are 30 meters away. You build with them, not for an abstract persona.

Requirements

  • 3+ years building production software end-to-end — ideally in early-stage startups, not just big tech.
  • Deep full-stack experience: Type Script, React/Next. js, Postgres, modern deployment workflows.
  • Hands‑on experience integrating LLMs into real products — not just demos. Bonus if you've worked with Claude, agentic frameworks, RAG, or structured extraction at scale.
  • You think in systems, not features — and you can explain a tradeoff in one sentence.
  • Bias to ship. You'd rather have a v1 in production than a v3 in Figma.
  • Self‑directed, founder‑grade ownership — you don't need a PM to tell you what's important.
  • Comfortable with ambiguity — early‑stage means the spec is often something you write yourself.
  • Bonus: experience in vertical Saa S, B2B marketplaces, real estate tech, or CRM tooling.
  • English fluent; German a plus, not required.

What we offer

  • Founding equity — meaningful, not symbolic. You own a real piece of what you build.
  • Competitive salary — at the level a senior engineer with options should expect at a serious early‑stage company.
  • Total ownership of the product — you don't ship features from a backlog, you decide what gets built.
  • A real business behind the code — neospaces already has revenue, mandates, and clients. You're not building on a pitch deck; you're building on a P&L.
  • Modern stack, no legacy — Next. js, Supabase, turbopuffer, Inngest, your call on what comes next.
  • Direct line to founders — flat hierarchy, daily contact, decisions in hours not weeks.
  • Berlin office — hybrid setup, top equipment, real desk if you want it.
  • The chance to shape a category — commercial real estate is a €100B+ industry running on Excel.

We're rebuilding the workflow.

You build the engine.

We're not hiring an engineer.

We're hiring the engineer — the one who will look back in five years and say: I built that.

If you're ready to own a product, ship at speed, and build the technology that defines a category — let's talk.

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Founding Engineer (m/f/d) – Full-Stack & AI Arbeitgeber: neospaces

neospaces ist ein innovativer Akteur im Bereich der gewerblichen Immobilienvermittlung, der seinen Mitarbeitern in München eine einzigartige Gelegenheit bietet, den Markt eigenverantwortlich zu führen. Mit einem wettbewerbsfähigen Vergütungspaket, das ein festes Gehalt oder ein freiberufliches Modell sowie eine leistungs- und gewinnabhängige Komponente umfasst, fördert neospaces eine dynamische Arbeitskultur, die auf Technologie und persönlichem Engagement basiert. Die Möglichkeit, in einem wachsenden Team mit flachen Hierarchien und direkter Kommunikation mit der Unternehmensführung zu arbeiten, bietet hervorragende Perspektiven für berufliches Wachstum und persönliche Entwicklung.

neospaces

Kontaktdaten:

neospaces Recruiting-Team

Wir glauben, dass du diese Fähigkeiten brauchst, um Founding Engineer (m/f/d) – Full-Stack & AI mit Bravour zu bestehen

Full-Stack Entwicklung
TypeScript
React/Next.js
Postgres
AI-Integration
LLM-Integration
Architekturdesign