We are AI builders
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.
The role
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:
Why a Lead role here, not somewhere else
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.
Requirements
What matters most: you think in systems, own outcomes end-to-end, and grow the people around you.
Benefits
We publish our salary ranges and keep terms straightforward. No surprises.
Compensation
Growth
Team & culture

Enjins is the leading data and AI engineering company for tech companies and venture capital with offices in:
• Berlin, Germany
• Utrecht, Netherlands
We realize meaningful change by developing customized AI use cases and modern data architectures in industries that matter, like ClimateTech, Mobility, and Marketplaces.
While building Machine Learning models is rapidly becoming a commodity, successful implementation of machine learning use cases and securing business value is not. That’s why Enjins exists.
With hubs in the Netherlands and Berlin, we are proudly expanding our footprint in the European tech scene. If you're part of a fast-growing company looking to accelerate with Data, Machine Learning, LLMs, or GenAI, our experienced and energetic team would love to connect.