Salary up to 101k including HA About the client Our client is an AI engineering company that builds production-grade machine learning systems, data infrastructure, and agentic AI solutions for fast-growing European tech companies. They have a deliberate focus on climate and energy, working with scale-ups in areas like grid software, energy forecasting, and climate infrastructure. Rather than delivering a solution and walking away, they embed directly with their partners’ engineering teams and own the full technical lifecycle: from the first architecture decision to a production system that keeps performing long after go-live.
About the role As Lead AI Engineer, you are the technical owner of client engagements. You design the solution, ship it to production, and make sure it still performs a year later. Together with the other Leads, you help shape the engineering team and the way they build.
In your first months, you’ll join a client project alongside an experienced engineer, supported by a dedicated coach. Within six months, you’ll own the technical roadmap of at least one engagement, mentor engineers, and have a recognised voice in the company’s technical strategy.
Why this role stands out: you’ll work across more stacks, clouds, and frontier frameworks in a year than most engineers see in five, backed by the collective knowledge of a strong team. On top of that, you’ll build real domain expertise in energy and climate systems.
What you will be doing
Designing AI roadmaps with client leadership and owning them through to production
Creating and implementing AI solution architectures to deliver on those roadmaps
Setting and upholding Data Platform and MLOps standards across your client portfolio, so systems stay healthy after handover
Mentoring engineers and contributing to hiring, team growth, and account management
Pushing the engineering practice forward, including the use of agentic coding workflows to build faster without compromising reliability
Bringing a strong product mindset, making sure the team builds the right things, not just more things
Requirements Most importantly: you think in systems, own outcomes end to end, and help the people around you grow.
5+ years of experience building and scaling data and AI solutions in production
Strong software engineering fundamentals: production-grade code and solid infrastructure knowledge (Docker, Kubernetes, CI/CD, data pipelines)
Mastery of at least one major cloud platform (AWS, Azure, or 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
Ability to translate technical complexity into clear decisions for non-technical stakeholders
Fluent in English and eligible to work in the Netherlands
Compensation and benefits
€5,950 to €7,800 gross per month (excluding holiday allowance, pension, bonus, and equity)
Annual performance bonus of 1.5 months’ salary
Equity participation (VSOP)
Structured development programme with a dedicated certification budget and a specialised track for Leads
1-on-1 mentoring with the founders plus external coaching
Hybrid setup with an office in central Utrecht
Monthly team events and an annual two-day company summit
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Lead AI Engineer in Utrecht werkgever: Roundr
Als Senior DevOps Engineer bij ons in Amsterdam krijg je de kans om te werken in een innovatieve en samenwerkende omgeving waar jouw ideeën en inzichten gewaardeerd worden. We bieden een competitief salaris tussen de 80k en 95k, aangevuld met aantrekkelijke voordelen, en stimuleren persoonlijke groei door middel van uitdagende projecten en de nieuwste technologieën, waaronder AI. Met een hybride werkmodel geniet je van de flexibiliteit om zowel vanuit kantoor als thuis te werken, wat bijdraagt aan een gezonde werk-privébalans.
