Lead AI Engineer
At a glance
Senior AI Engineering role at Enjins. Amsterdam.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Turn client goals into AI roadmaps, then guide the work through architecture, implementation and production
- Design AI systems and set data platform and MLOps practices so client systems remain reliable after handover
- Coach engineers, contribute to hiring and team development, and oversee delivery across client accounts
- Improve how the team builds, including its use of agentic coding workflows and product judgment
What you bring
- At least five years building and scaling data or AI systems that run in production
- Strong software engineering and infrastructure skills, including Docker, Kubernetes, CI/CD and data pipelines
- Deep experience with one major cloud platform and leading MLOps or LLMOps architecture
- A track record of taking LLM or agentic systems to production and mentoring engineers
- Fluent English, client leadership skills and authorization to work in the Netherlands
Who this fits
This senior technical leadership role suits an engineer who owns client outcomes, guides delivery and develops other engineers. The role is based in Utrecht with a hybrid setup, and requires eligibility to work in the Netherlands.
From the employer
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