Asks for

The ad says“Experience mentoring engineers, overseeing delivery, and managing client accounts”
The ad says“Proven experience taking LLM-based or agentic systems to production”
The ad says“Mastery of at least one major cloud platform (AWS, Azure, GCP) and experience leading MLOps/LLMOps architectures”
The ad says“Mastery of at least one major cloud platform (AWS, Azure, GCP) and experience leading MLOps/LLMOps architectures”
The ad says“Strong software engineering fundamentals: you write production-grade code and know your way around infrastructure (Docker, Kubernetes, CI/CD, data pipelines)”
The ad says“Mastery of at least one major cloud platform (AWS, Azure, GCP) and experience leading MLOps/LLMOps architectures”
The ad says“Strong software engineering fundamentals: you write production-grade code and know your way around infrastructure (Docker, Kubernetes, CI/CD, data pipelines)”
The ad says“Strong software engineering fundamentals: you write production-grade code and know your way around infrastructure (Docker, Kubernetes, CI/CD, data pipelines)”
The ad says“Mastery of at least one major cloud platform (AWS, Azure, GCP) and experience leading MLOps/LLMOps architectures”
The ad says“Strong software engineering fundamentals: you write production-grade code and know your way around infrastructure (Docker, Kubernetes, CI/CD, data pipelines)”
The ad says“Proven experience taking LLM-based or agentic systems to production”
The ad says“Mastery of at least one major cloud platform (AWS, Azure, GCP) and experience leading MLOps/LLMOps architectures”
The ad says“Experience mentoring engineers, overseeing delivery, and managing client accounts”
The ad says“Mastery of at least one major cloud platform (AWS, Azure, GCP) and experience leading MLOps/LLMOps architectures”
The ad says“Strong software engineering fundamentals: you write production-grade code and know your way around infrastructure (Docker, Kubernetes, CI/CD, data pipelines)”

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.

Requirements

What matters most: you think in systems, own outcomes end-to-end, and grow the people around you.

5+ years building and scaling data & AI solutions in production environments
Strong software engineering fundamentals: you write production-grade code and know your way around infrastructure (Docker, Kubernetes, CI/CD, data pipelines)
Mastery of at least one major cloud platform (AWS, Azure, GCP) and experience leading MLOps/LLMOps architectures
Proven experience taking LLM-based or agentic systems to production
Experience mentoring engineers, overseeing delivery, and managing client accounts
You can translate technical complexity into clear decisions for non-technical stakeholders
Fluent in English and eligible to work in the Netherlands

Benefits

We publish our salary ranges and keep terms straightforward. No surprises.

Compensation

€5,950 - €7,800 gross per month (excl. holiday allowance, pension, bonus, equity, and AI-Leap benefits)
Annual performance bonus of 1.5 months' salary
Equity participation (VSOP)

Growth

AI-Leap: our structured development programme with a dedicated certification budget and a specialised track for Leads
1-on-1 mentoring with our founders and external coaching to close your specific gaps

Team & culture

Office on the Oudegracht in Utrecht (note: not yet fully accessible for individuals with physical disabilities); hybrid setup
28 vacation days, flexible across 3 national holidays
Monthly team events and the annual two-day Enjins Summer Summit on AI × Climate
OV-First travel policy, fully covered; meat-free catering
Apple MacBook Pro and the tools you need