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AI-Native Full-Stack Builder (m/f/d)

AI-Native Full-Stack Builder (m/f/d), 1. image

Why This Role Exists

We are building an AI-native delivery team that ships working software in days, not quarters. This role is for someone who lives in AI-native tooling — Claude Code, Cursor, Replit, v0, Lovable, Bolt — and who treats shipping as the unit of progress.

This is not a Staff Engineer role and is not asking for one. We are not asking for five-year architectural ownership; the integration engineering function owns that. We are asking for speed, judgment, and the ability to ship working software end-to-end at high cadence.

What Success Looks Like

  • Working software in users' hands fast — days and weeks, not quarters. 
  • A portfolio of small, useful internal tools, automations, and tenant-facing PoCs accumulates quickly. Some land, some get killed. Both are signal. 
  • Tight feedback loops with real users — internal teams, operations, pilot tenants. 
  • Prototypes that prove themselves are handed cleanly to the integration engineering function for hardening — without rewrite drama. 
  • Code that did not earn its place is thrown away without ceremony.

Responsibilities

Building & Shipping

  • Build working software end-to-end in AI-native tooling: Claude Code, Cursor, Replit, v0, Lovable, or equivalent. You are fluent across at least several of these and you experiment with new ones. 
  • Ship to small user groups fast — internal users, operations teams, pilot tenants. Your loop is build → demo → learn → rebuild. 
  • Cover the stack pragmatically: frontend, backend, basic data, basic deploy. You do not need to be the deepest in any one layer; you need to be effective across all of them. 
  • Build LLM-powered features into product where they create real user or operational value — AI-assisted search, document processing, intelligent summarization, agentic workflows. 

Quality Calibration

  • Write deliberately loose code in early stages; tighten what proves itself. Recognize when something is a five-day experiment and when it is a candidate for production. 
  • Throw away what did not work without attachment. Double down on what did. 
  • Hand winning prototypes to the integration & hardening engineering function with clean context — what it does, who uses it, what it touches, what is not yet production-ready. 
  • Apply judgment on quality calibration. Prototypes deserve different rigor from production code; both deserve thought.

AI-Forward Workflow

  • Use AI coding assistants as your default workflow — code generation, test generation, refactoring, documentation, debugging — not as a novelty. 
  • Continuously evaluate new AI development tools as they emerge. Adopt fast when they earn it. Discard when they do not. 
  • Maintain critical judgment over every AI output. Speed without judgment produces bad code at scale.

Your Profile

Experience & Expertise

  • 4+ years of professional development experience, or equivalent demonstrated portfolio of shipped work. 
  • Hard requirement: a working portfolio of AI-built prototypes — at minimum 2 to 3 things shipped recently using AI-native tooling. Link required in application. 
  • Effective across the stack: frontend (React, Vue, or similar), backend (Node, Python, or similar), basic database work, deployment to platforms like Vercel, Railway, Supabase, or equivalent. 
  • Daily practice with AI coding assistants — Claude Code, Cursor, or comparable. Not awareness, not occasional use — default workflow. 
  • Working understanding of when something needs to be hardened versus when it should stay in prototype form. Bonus if you have made that judgment call in production before.
  • Comfort with throwaway code and rapid iteration. You do not require comprehensive test coverage on a 3-day experiment. 
  • Real estate, proptech, or property operations context is an advantage — not a gating requirement, but it accelerates you.

Core Competencies

  • Velocity Under Uncertainty: You ship in days even when the spec is fuzzy. You treat ambiguity as a signal to build, not to delay. 
  • Prototype-to-Production Fluency: You know which corners can be cut and which cannot. You know when to call in the integration engineer. 
  • AI Tool Mastery: You are deep in at least one AI coding environment and competent in several. You are not a tourist.
  • User Proximity: You stay close to the people using your work. The feedback loop is short and direct. 
  • Comfort with Throwing Code Away: You do not get attached. The portfolio matters more than any single artifact.
  • Pragmatic Quality: You apply the right level of rigor for the stage. Experiments and production code get different treatment, by design.

Who You Are

  • Builder: You measure yourself in things shipped, not story points moved. 
  • Allergic to Long Planning Cycles: You would rather build a small bad thing on Tuesday than plan the perfect thing for two weeks. 
  • Comfortable with Messy Code in Service of Learning: You also know when to clean it up — or throw it out entirely. 
  • Curious About the Domain: You actively want to understand how a property gets managed, what an operations team does day-to-day, where the friction lives. 
  • AI-Forward: AI tools are your default, not a novelty. You experiment with new ones every month and have opinions about them.
  • Discreet: You handle tenant data and operational information responsibly, including data passing through AI systems.

Qualifications

  • Working portfolio of AI-built artifacts shipped in the last 90 days — link required in application. 
  • English: advanced. 
  • German: an advantage but not gating.
  • Degree not required if portfolio is strong. Demonstrated shipping beats credentials.

Your Perspective

  • Interesting, varied and broad range of tasks in one of the largest real estate companies in Germany and Europe
  • Individual training and coaching for professional and personal development in our Academy and with our in-house business coach
  • Professionally equipped, in-house gym with trainers and courses at the headquarters in
    Berlin as well as fitness and health offers through the Wellhub platform at all external locations
  • Comprehensive company health management and company pension scheme
  • Support on the way to work through a subsidy for the use of public transport and the option of leasing a bicycle through Eurorad
  • Mobility and flexibility through the use of pool cars and company cars to carry out tasks
  • Flexible working hours and mobile working for an even better work-life balance
  • Exciting virtual range of family-friendly benefits, including vacation programs, leisure and sports activities and consulting services with our partner company Voiio
  • Opportunity to attend Bundesliga matches of FC Union Berlin, our favorite club
  • Discounts in selected hotels worldwide with up to 30% on overnight stays and special conditions on food and drinks
  • Employee discounts for special conditions in the areas of media, fashion, leisure, facilities and much more via a partner company
  • Additional days off on Christmas Eve & New Year's Eve