AI Engineer

About us

Since 2018, we've been engineering AI systems designed to deliver long-term, meaningful value. Operating from Utrecht and Berlin, we partner with innovative tech companies across Northwest Europe - including Groendus, Snapp Car, Next Sense, Crisp and Beyond Weather - and actively prioritise partnerships in Climate Tech where our technology delivers measurable positive impact.

We build data & AI solutions. At Enjins, we operate with a product mindset, meaning we take full ownership of the technical lifecycle - from initial discovery to a scaling, production-grade engine that lives within our partners' infrastructure. At our core, we are engineers first: clean code, MLOps best practices, and system reliability. Our team is a growth-oriented group of engineers from diverse cultural, academic, and professional backgrounds.

You will act as a hands-on engineer embedded within client teams, designing and deploying end-to-end AI/ML systems from proof-of-concept to production. Technical mastery meets high-impact client engagement.

• Own a feature or deployment pipeline on client projects, demonstrating technical mastery and end-to-end responsibility.
• Spearhead the adoption of MLOps/LLMOps best practices - feature stores, model monitoring, pipeline orchestration — to ensure client systems are scalable and reliable.
• Collaborate with Data Scientists and Software Engineers to design and implement robust data pipelines and model APIs.
• Bridge the gap between data science and business value by translating technical findings into clear, actionable insights for non-technical stakeholders

A concrete example of what this could mean in practice: within your first months, you might build a predictive energy-demand model for a Climate Tech client - going from raw sensor data all the way to a monitored, production API. That's the kind of real-world impact we're after.

• Complete the Enjins AI Leap onboarding programme, understanding our approach and becoming a certified cloud practitioner (AWS, Azure, or GCP).
• Start your first client project — always alongside an experienced Enjins engineer who acts as your technical buddy and mentor.
• Get introduced to your dedicated Lead and Buddy, who will support your first two months of onboarding.

• Develop and implement robust AI/ML applications for your client, building new solutions and resolving integration challenges — laying the foundation of your AI engineering skills.
• Receive multiple feedback moments with your project team before and after client meetings to sharpen your consulting and project management skills.

• Identify new tools, methods, and processes that work best — and share them with the team.
• Help in the interview process for additional AI Engineers joining Enjins' growing team.
• Have meaningfully accelerated your client's velocity.

We're looking for engineers who are curious, growth-minded, and eager to learn. If you're willing to expand your technical skills, we want to hear from you.

• Bachelor's or Master's Degree in Computer Science, Software Engineering, or a relevant technical or quantitative field (data science, econometrics, mathematics, etc.).
• Solid experience with Python, SQL, and Git; familiarity with other languages and frameworks is a plus.
• Experience with at least one major cloud platform (AWS, Azure, or GCP) and its data engineering components.
• Ability to bring AI/ML models or LLMs into production — whether that's your first time or you've done it before.
• Exposure to or curiosity about LLM-based and Agentic architectures (e.g. RAG, tool-use, multi-agent systems).
• Familiarity with containerisation (Docker,…