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AI Solutions Engineer Amsterdam Aquablu

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Gevraagd

  • Fulltime
  • Engels (taal)

Aanbod

  • Loondienst (vast)
 

Vacature in het kort

Amsterdam
Join a mission to engineer a cleaner, smarter hydration future without single-use plastics. Work with cutting-edge water systems transforming hydration worldwide. You will develop tools and automations solving operational needs, prototyping solutions and collaborating with the production team. Excel in problem-solving by turning business needs into technical solutions. Engage in rapid prototyping, testing, and maintaining robust database architectures. Make a difference with innovative technology in a growing company. Read on to see how your skills fit this role.
 

Over het bedrijf

Aquablu
Directe werkgever
Bedrijfsprofiel
 

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🌊 Who are we?

At Aquablu, we’re not just bottling innovation, we’re engineering a cleaner, smarter future of hydration. Since 2018 our founders, Marnix and Marc, have been on a mission to eliminate single-use plastics by replacing them with game-changing, connected water systems. Now poured in 16 countries and counting, partners like Heineken, Adyen, and Marriott are already on board. Join us in our mission to hydrate a billion people to thrive everyday!


Build the intelligence layer for Europe’s fastest-growing hydration company

You will rapidly prototype tools, agents, and automations that solve real operational needs, then hand them off to our production team once validated. This is not a pure dev role. You’ll spend as much time understanding why something needs to exist as you will building it. You are the bridge between “we need this” and “here’s how it works.”


Your responsibilities:

Strategic problem-solving

  • Translate messy business needs into clear technical solutions

  • Understand how sales, partnerships, and ops actually work and then build for those realities

  • Decide what to build, automate (N8N), integrate (APIs), or ignore

  • Own outcomes, not just deliverables

Rapid prototyping & iteration

  • Build integrated, functional MVPs for internal testing using AI coding tools (Claude Code, Cursor, Copilot)

  • Design scalable, lightweight database schemas

  • Create FastAPI backends and N8N workflows that solve real problems today

  • Validate solutions with real users before handoff to production

Technical architecture

  • Maintain postgres/Supabase databases with clean schema design and strong data integrity

  • Implement semantic search, vector databases, and LLM integrations where they truly add value

  • Know when to use Postgres, vectors, or even spreadsheets

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