Senior AI Engineer

Enjins Utrecht, Netherlands
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Are you an ambitious Senior AI Engineer ready to bridge the gap between high-level strategy and production-ready code? Do you want to use your (Gen)AI knowledge and ML engineering skills to help fast-growing tech scale-ups in Climate Tech? At Enjins, we apply a software engineering mindset to all things AI - from traditional ML models to modern LLMs and Agentic architectures. As a Senior, you won’t just build; you will mentor a talented team of engineers and drive complex AI projects from design to deployment, while playing a defining role in the expansion of our Utrecht hub.

About us 🚀Since 2018, we have been engineering AI systems designed to provide long-term and meaningful value. We don’t chase hype; we help our clients navigate the evolving AI landscape with clarity and purpose. By applying a software engineering mindset to everything we do, we ensure our solutions are robust, scalable, and production-ready. Operating from our offices in Utrecht and Berlin, we partner with innovative tech companies throughout Northwest Europe. Our client portfolio includes names like Crisp, Groendus, SnappCar, Tier Mobility, and PlanBlue. We actively prioritize partnerships within Climate Tech where our technology delivers a measurable, positive impact. At our core, we are engineers first, prioritizing clean code, MLOps best practices, and system reliability.

What? [You'll be doing] 👀As a Senior AI Engineer, you will work at the intersection of technical excellence and project leadership within our team of 20+ engineers. You will act as a hands-on technical lead in a consultancy context, ensuring the impact of our AI applications for innovative Dutch and foreign clients.

Key responsibilities: • Own the full development and implementation of robust AI/ML applications, ensuring systems are scalable and production-ready. • Support the growth of our engineering team by sharing knowledge on the latest technologies like Kubernetes, Airflow, and Kafka. • Act as a technical partner for stakeholders, translating complex AI architectures into clear business value and human-centric impact. • Play an active role in building Enjins, participating in the interview process and identifying new tools/methods to increase team velocity.