Founding Full-Stack Engineer

alago; München; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Equity: 0.5%–1.5%

Hybrid: 3 days in Munich office

Job summary

alago is hiring its first engineers to build AI-driven project management software for large construction projects. You will design the data layer, implement dashboards and task views, and ship end-to-end features with cron-based automation and background AI work.

You will own frontend and backend work, ensure high performance on a graph-like data model, and contribute to architecture decisions. English is used; German helpful for calls. Hybrid work in Munich offers 3 days per week in the office.

Qualifications

• Strong full-stack engineer with React/Next.js expertise
• Proficient TypeScript and frontend skills
• Good instincts for database design and query optimization
• Ability to prototype fast and measure everything

Responsibilities

• Build AI-native project management surfaces: dashboards, views, alerts, and cron-driven automation
• Design and implement the data layer for long-running projects with interconnected documents and tasks
• Develop backend APIs and maintain fast, scalable queries over large construction datasets
• Collaborate with the team to ship iteratively with high ownership and reliability

Job description

The problem

The construction industry loses $1.6 trillion a year to inefficiency, and most of it is avoidable. The knowledge that would prevent it already exists. It's just trapped in PDFs, meeting protocols, and email threads nobody can search. Every new project relearns what the last one already knew.

We're building the opposite of that: software for the people who run large, complex construction projects. It reads the documents, tracks the decisions, and catches the mistakes early. The model isn't the moat. The project memory is, and it compounds: every project makes the system better, and a competitor starting today is already years of projects behind.

Our software runs today on a live autobahn construction program and an S-Bahn transit program: multi-year timelines, hundreds of thousands of pages of specs, protocols, and site communications, and real consequences when we get an answer wrong.

We're pre-seed, led by Realyze Ventures, whose LPs include Zech and other large European construction groups. Co-investors: D11Z, the family office behind Aleph Alpha, and the CDTM Venture Fund, backed by 300+ CDTM alumni including the founders of Personio and Alasco and DeepMind's Technical Director. 25+ live customers.

Tasks

What you'd work on

Two hard problems, both in production.

AI-native project management, not a chatbot on PDFs. You build the product project managers live in every day: the dashboards, task views, and alerts. The AI belongs in the background, not in a sidebar you talk to, so you're building surfaces where automation runs on cronjobs, recommendations surface for the PM to approve, and some tasks run end to end with the user only reviewing after.

The data layer under a five-year project. Construction data is deeply interconnected: documents, protocols, decisions, tasks, and stakeholders all cross‑reference each other across timelines that run for years. You design the schema, write the queries, and build the APIs that hold that graph and still serve the product fast enough to feel instant, at hundreds of thousands of pages and 50 stakeholders per project.

Stack. TypeScript, Next.js, Vercel, Supabase (Postgres + pgvector), LangChain, Vercel AI SDK, LangFuse, shadcn/ui. Every engineer gets €500/month for AI tooling: Claude Code, Cursor background agents, and whatever frontier model you want to test. No legacy. Greenfield.

How we work

• We ship at 80% and improve in the next iteration. Our users are on live infrastructure projects, so we learn from production.
• We'd rather you read the paper than reach for the nearest library. Most of what we build doesn't have a library yet.
• Feedback is direct and it's about the work. We move too fast to be precious about it.
• High ownership. If you spot the problem, it's yours to fix.

Requirements

Who we're looking for

You reason from user pain to solution to measurable outcome, and you can sit across from a non-technical customer and understand how they actually work.

You're a strong full-stack engineer. You build complex, performant frontends in TypeScript and React/Next.js and the backend APIs behind them, and you have real instincts for database design and query optimization, because construction data is deeply interconnected.

You prototype fast and measure everything. You also care about reliability, because on a live construction project, wrong has consequences.

Level is open. If you're exceptional, we'll build the scope around you.

Nice to have, not required: comfort integrating AI features even if you don't build the models yourself, strong open-source work, an earlier stint as an early employee at a startup, domain depth in construction or complex B2B workflows, or a good eye for design so you can build clean interfaces without detailed mockups.

We work in English. German helps for customer calls but isn't required. We have native speakers for that.

Benefits

The offer

You'll be one of our first engineers, which means you own critical parts of the product end to end and work directly with the founders. It's early enough that you help decide how the company works, and the path from here goes to either top individual contributor or VP Engineering, depending on where you're strongest.

Equity: 0.5% to 1.5%, four-year vest, 1.5-year cliff.

Hybrid: three days a week in our central Munich office. If that's a dealbreaker for you, let's talk.