Forward Deployed Engineer (m/f/d)

Free resume

Berlin

Hybrid

EUR 90.000 - 120.000

Vollzeit

vor 17 Stunden
Sei unter den ersten Bewerbenden
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Zusammenfassung

Free resume in Berlin is seeking a hands-on software leader to own end-to-end AI-enabled automation for trades partners. You will build Python/FastAPI services, Vue interfaces, and Flutter screens to price real jobs and respond to real customers.

You'll work closely with Meister and Handwerker, shipping production agents and defining acceptance criteria without a fixed spec. The role combines backend, frontend, and AI model integration in a fast-growing environment.

Qualifikationen

  • Own end-to-end delivery from architecture to delivery and iteration.
  • Focus on problem over stack; adapt to changing tools.
  • Willingness to ship features that matter to tradespeople.
  • Engage with customers and pivot based on user feedback.

Aufgaben

  • Own agents in production with reliability and graceful failure.
  • Build across the stack: Python/FastAPI services, Vue interfaces, Flutter screens.
  • Decide what to build and write acceptance criteria without a fixed spec.
  • Measure impact by hours saved, untouched offers, and leads handled quickly.
  • Ensure outputs are accurate and measurable in real-world use.

Kenntnisse

End-to-end ownership
Customer interaction
Python
FastAPI
Vue
TypeScript
Flutter
SQLAlchemy

Tools

PostgreSQL
Redis
Celery
pgvector
Google Cloud Run
Sentry

Jobbeschreibung

Your Impact

The European trades are one of the least digitised industries left. Software penetration sits under 15%, against roughly 70% in the US. The labour productivity gap runs about 30%. Millions of skilled people spend their evenings on paperwork instead of the craft they trained for — in the industry that has to deliver the energy transition. There is almost no incumbent software to displace. That is unusual, and it won't last. smalt replaces the back office entirely rather than selling Meister another tool to manage. In the last six months that went from a partner app and a dashboard to around thirty AI agents in production - pricing real jobs, qualifying real leads, running the operations of businesses whose payroll depends on it working. These days building thirty agents is easy. Knowing which thirty is what's challenging. That only comes from being in the Betrieb and talking to the Handwerker. That's what this role is for.

What you'll do
  • Spend real time with partners. Not a quarterly customer call. You'll know our Meister by name, understand their P&L, and notice the thing they've stopped complaining about because they assume it can't be fixed.
  • Build across the stack. Python/FastAPI services, Vue interfaces, Flutter screens, agent loops, data pipelines - whatever the problem needs.
  • Own agents in production. Not demos. Agents that price real jobs, answer real customers, and cost real money when they're wrong. Reliability, evaluation, structured output, graceful failure.
  • Decide what to build. You'll write your own acceptance criteria. Nobody here will hand you a spec, and waiting for one is how to fail in this role.
  • Measure whether it worked. Hours saved per partner, offers that go out untouched, leads answered before a competitor picks up. If the number didn't move, it didn't work.
What that looks like in practice

In July one of our Meister got an early build of the partner app, ahead of the general rollout. He tested it between jobs and sent screenshots: from a calendar appointment he could no longer jump into the project to pull the customer's phone number. He had a reply in two minutes. Within the hour he'd also asked for a navigation button - tap the address, go straight to maps. Neither was news. Both were already being worked on before he hit send. We aim to be fast, and close enough to the work that we've usually seen the problem before the person living it has to tell us.

What Makes You a Great Fit
  • Have owned something end to end - architecture through delivery through the unglamorous iteration afterwards.
  • Get obsessed with a problem rather than a stack. The tools change every few months. The curiosity compounds.
  • Would rather ship something that changes a tradesperson's week than win an argument about abstractions.
  • Actually like talking to customers, and have changed your mind about a feature because of something a user said.
  • Are comfortable being the least knowledgeable person in a room full of electricians, and ask the question anyway.
  • Can hold 'ship it today' and 'this needs to survive two years' in your head at the same time, and know which one applies.
Our stack, so you know what you're walking into:
  • Backend: Python, FastAPI, async SQLAlchemy, PostgreSQL (with pgvector), Celery, Redis
  • Frontend: Vue 3, TypeScript, Vite, PrimeVue
  • Mobile: Flutter
  • AI: Anthropic, Open source and Google models, vector search over partner and catalog data
  • Infra: Google Cloud Run, Cloud SQL, Sentry

We care that you're strong somewhere and unafraid everywhere else. If you've never written Vue but you've shipped production systems and you learn fast, that is fine - several of us ha

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