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
- 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 AI solutions in production environments
- Deep expertise in Python, SQL, and Git; hands-on with containerisation (Docker, Kubernetes) and ETL/ELT orchestration
- 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
- €5,500 - €7,250 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
Skills Required
- Minimum of 3-5 years of relevant experience as AI/ML Engineer in a consultancy context
- Deep expertise in Python, SQL, and Git
- Hands-on experience in containerization (Docker, Kubernetes) and ETL/ELT orchestration
- Mastery of at least one major cloud platform (AWS, Azure, GCP)
- Experience spearheading MLOps architectures
- Experience in coaching engineers and managing project delivery
What We Do
Enjins is the leading data and AI engineering company for tech companies and venture capital. We realize meaningful change by developing customized AI use cases and modern data architectures in industries that matter, like ClimateTech, Mobility, and Marketplaces. Though 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. With hubs in the Netherlands and Berlin, we are proudly expanding our footprint in the European tech scene. If you are part of a scale-up and need to accelerate on data/ML/AI, our fun and dynamic team will be happy to hear from you!
