AI Engineer

Location: Utrecht, Utrecht, Netherlands

Department: Utrecht

Workplace: on_site

Employment Type: full

Description

Hey there! 👋

Are you an ambitious AI Engineer ready to move beyond research and build robust, production-ready AI solutions for high-impact 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. We don't chase hype; we deliver pragmatic, scalable systems that create measurable business value.

About us 🚀
Since 2018, we have been engineering AI systems designed to provide long-term and meaningful value. Operating from our offices in Utrecht and Berlin, we partner with innovative tech companies throughout Northwest Europe to solve complex, real-world problems by designing, building, and operating end-to-end AI and ML systems. Our client portfolio includes a variety of innovators such as Crisp, PlanBlue, NextSense and Groendus, and we actively prioritize partnerships within Climate Tech and other sectors where our technology delivers a measurable, positive impact.

At our core, we are engineers first, prioritizing clean code, MLOps best practices, and system reliability over academic novelty. We remain deeply committed to building trustworthy and explainable AI. When you join us, you become part of a high-performing, growth-oriented team of expert engineers who value collaboration, continuous learning, and knowledge sharing. We believe that the most remarkable insights and innovative solutions for our clients emerge from the rich interplay of diverse cultures, knowledge, and experiences within our workforce.

What? [You'll be doing] 👀

You will act as a hands-on engineer in a consultancy context, embedded within client teams, designing and deploying end-to-end AI/ML systems from proof-of-concept to production. This is a role where technical mastery meets high-impact client engagement.

Key responsibilities:

• 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 (e.g., 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 complex technical findings into clear, actionable insights for non-technical stakeholders.

What success looks like (within 6 Months) 🎯
Within 1 month you'll:

• Finish the Enjins AI Engineering onboarding program, in which you will understand how Enjins work, be trained in our approach and become a certified cloud practitioner in AWS/Azure or GCP.
• Start your first customer project!

Within 3 months you'll:

• Develop and implement robust AI/ML applications for your client, working on building new solutions and ironing out any old integration problems. This way laying the foundation of your AI engineering skills.
• Had multiple feedback moments with your project team before and after client meetings, to help you to improve your consulting and project management skills.

Within 6 months you'll:

• You'll identify new tools / methods / processes that work best.
• Have helped in the interview process for additional AI Engineers to join Enjins’ growing team.

• Have helped your client move along rapidly - their velocity has increased significantly.

Requirements

We are looking for experienced engineers who are hungry to learn and lead.

Expertise & Skills 🔧

• Bachelor’s or Master’s Degree in Computer Science, Software Engineering, or a relevant technical field.
• Relevant experience with software engineering using Python, SQL, and Git, with familiarity across various languages and frameworks being a plus.
• Experience with at least one major cloud platform (AWS, Azure, or GCP) and its data engineering components.
• Proven ability to bring AI/ML models (including LLMs) successfully into production.
• Familiarity with concepts like containerization (Docker, Kubernetes), ETL/ELT tools, and the basics of LLMOps/MLOps.

Mindset & Approach ✨

• Driven by a desire for personal development towards becoming a Senior AI Engineer.
• Comfortable engaging with clients, including executive-level stakeholders (CEO, CTO, etc.), to drive maximum results.
• A passionate engineer who wants to make a positive impact and continuously discover new technologies.
• Excellent communication skills, with a proven ability to translate complex technical problems for non-technical audiences.

Requirements 📍

Fluent in English and eligible to work in the Netherlands.

Benefits

We invest heavily in your growth, ensuring you become an industry-leading expert with an interesting career-path within Enjins.

Accelerate your growth & Development 🧠

• A personalised, structured M-Leap learning journey (mentoring, learning, and practice) to accelerate your career, including dedicated time and (personal) budget for courses and certifications.
• Bi-weekly 1-on-1 coaching/mentoring sessions focused on both technical growth and professional development.
• Our evaluation system includes project-based assessments and semi-annual reviews with a 360-degree feedback process, ensuring transparent and continuous improvement.

Innovation & Work environment ⚡️

• Join a dynamic, innovative, and empowering team working at the forefront of Data & AI technology in a European setting.
• Work from our office centrally located in Utrecht along the picturesque Oudegracht. Please note: Our office is not yet fully accessible to individuals with physical disabilities.
• Receive an Apple MacBook Pro for work and enjoy the freedom of a scale-up role.
• A market-competitive salary between €3.800 and €4.400 per month. This base salary excludes holiday allowance, pension contributions, and benefits related to M-Leap's collective and personal investments.

Work-life balance & Culture 👐 

• Enjoy 28 total vacation days (based on full-time employment). This includes the flexibility to utilize 3 national holidays (Easter Monday, Whit Monday, & Ascension Day) as part of your allowance.
• Become part of a diverse and driven team enjoying monthly social events—from themed parties and sports tournaments to board game nights and pub quizzes.
• We encourage sustainable travel with an OV-First (Public Transport) travel policy, fully covering your commute. Further we provide meet-free catering during internal and external events.

Have we spiked your interest?

Let’s have a talk! In the first meeting you talk directly to one of our Lead AI engineers, so ask everything you want to know. If you want to reach out to us before applying with any questions, drop us an email at [email protected]