Founding Full-Stack Engineer

The construction industry loses $1.6 trillion annually to inefficiencies — not because people are careless, but because critical knowledge is trapped in PDFs, transcripts, and scattered systems. Every new project starts from scratch.

We're building the opposite: an AI co-worker that extends the Projektsteuerer (the person who runs complex construction projects), while every project makes our system measurably better. The moat isn't the model — it's the compounding project memory no competitor can replicate.

Pre-seed led by Realyze Ventures — LPs include Zech and other major European construction groups. Co-investors: D11Z (the family office behind Aleph Alpha) and the CDTM Venture Fund (backed by 300+ CDTM alumni including founders of Personio, Alasco and the Technical Director of DeepMind).

Our software is running today on a major autobahn construction program and an S-Bahn transit program — multi-year timelines, hundreds of thousands of pages of specs, protocols, and communications. Real consequences when we get it wrong.

Tasks

Two hard problems. All production.

2. AI-native project management, not a chatbot on top of PDFs

The construction industry doesn't need another chat wrapper around GPT. It needs project management software where AI runs in the background — through cronjobs, proactive alerts, and task dashboards — not in a sidebar chat window. The hard product question is how AI shows up: when as silent background automation, when as a surfaced recommendation the PM approves, when as a fully delegated task the user only reviews after the fact.

4. Extending harness engineering all the way to the UI

Agent harnesses don't stop at the backend. A multi-step agent run that streams tokens, calls tools, hits failure modes, and recovers gracefully needs a frontend that makes all of that legible in real time. You'll plumb Vercel AI SDK streams from our agent layer straight into the component tree — streaming, tool-call traces, interrupts, partial renders, graceful failure — all as first-class UI concerns, not afterthoughts.

Stack: TypeScript, Next.js, Vercel, Supabase (Postgres + pgvector), LangChain, Vercel AI SDK, LangFuse, shadcn/ui. €500/month AI tooling budget per engineer — Claude Code, Cursor background agents, experimentation with frontier models. No legacy. Greenfield.

Requirements

Who we're looking for

• Product sense: you reason from user pain → solution → measurable outcome. You can talk to non-technical customers and understand their workflows.

• Velocity + craft: prototype fast, measure everything, iterate on real feedback. But you care about reliability because the downside of wrong is real in construction.

• Comfort with the unknown: many of these problems don't have Stack Overflow answers. You read papers, prototype, and compare approaches.

• Bonus : strong open-source work, previous early-employee startup experience, domain depth in document understanding or agent systems, or shipped systems that replaced hours of human labor.

• Level is opportunistic: We've seen brilliant new grads outperform staff engineers and vice versa. If you're exceptional, we'll find the right scope.

• Language: We work in English. German is nice-to-have for customer conversations but not required — we have native speakers for that.

Benefits

As one of our first hires, you’ll do more than contribute — you’ll help shape how Alago works: our culture, systems, and growth strategy. You’ll work directly with the founders, gain exposure to every function, and ship projects that have immediate impact.

• 10× Learning Curve. Work with cutting-edge AI to tackle real-world challenges every day

• Work directly with the founders. You’ll o