- Location
- Amsterdam, North Holland, Netherlands · published
- Department
- Engineering
- Seniority
- Lead
- Source
- Workable
Description
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:
- Design AI roadmaps with client leadership and own them through to production
- Create and implement the AI solution architectures to deliver on those roadmaps
- Set and uphold Data Platform and MLOps standards across your client portfolio, so systems stay healthy after handover
- Mentor engineers and weigh in on hiring, team growth, and accounts
- Push our engineering practice forward, including how we use agentic coding workflows to build faster without compromising reliability. We test, document, and share what works, so the whole team levels up
- Elevate our product mindset to ensure we build the right things, not just more things
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.