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Enjins, an AI-focused engineering partner, is seeking a Lead AI Engineer to own client engagements and architect solutions that scale to production. You will mentor engineers, shape the team, and guide data and ML platform standards across multiple client projects.
You’ll own roadmaps, lead MLOps architectures, and translate complex tech decisions for non-technical stakeholders as you collaborate with cross-functional teams. This role is based in Utrecht with a hybrid setup.
Since 2018, Enjins has done one thing: ship AI that works in production. From Utrecht and Berlin, we build machine learning systems, data infrastructure, and agentic AI layers for European tech companies, with a deliberate focus on climate and energy, where we believe the biggest technological shift of our generation should meet its most critical challenge.
We embed directly with the engineering teams of high-growth scale-ups like Crisp, PlanBlue, NextSense, and Groendus. We take ownership of the full technical lifecycle: from first architecture decision to a production-grade system running inside our partner's infrastructure, long after go-live.
As Lead AI Engineer, you are the technical owner of client engagements. You architect the solution, ship it to production, and make sure it still performs a year later. Alongside the other Leads, you shape the engineering team and the way we build.
In practice:
You’ll work across more stacks, clouds, and frontier frameworks in a year than most engineers see in five, with the collective knowledge of the whole team behind you, not the isolation of freelance work. And because our clients build grid software, energy forecasting, and climate infrastructure, you develop real domain expertise in energy and climate systems on top of production-grade AI engineering.
In your first months you’ll join a client project alongside an experienced Enjins engineer, supported by a dedicated coach. Within half a year, you own the technical roadmap of at least one engagement, mentor engineers, and have a recognised voice in our Asset strategy.
What matters most: you think in systems, own outcomes end-to-end, and grow the people around you.
We publish our salary ranges and keep terms straightforward. No surprises.