Senior ai engineer

Are you curious about AI and 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 Climate Tech scale-ups build solutions that genuinely matter? At Enjins, you'll have the freedom to work with the latest technologies while creating real, lasting business value - all within a growth-oriented team that values collaboration, celebrates together, and includes everyone., 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 AI applications for innovative Dutch and international clients., * 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 technologies like Kubernetes, Airflow, and Kafka - and by mentoring more junior engineers.
• 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 interviews and identifying new tools and methods that increase team velocity.

What success looks like

A concrete example: within your first months you might lead the deployment of a renewable-energy forecasting model for a Climate Tech client - end-to-end, from data pipeline to production API with full MLOps coverage. That's the kind of work we do.

Within 1 Month

• Complete Enjins onboarding and become a certified cloud practitioner (AWS, Azure, or GCP).
• Start your first client project, working alongside an experienced Enjins engineer who acts as your buddy.
• Meet your dedicated Coach and Buddy who support your first two months.

Within 3 Months

• Take ownership of a client's AI/ML application from architecture through deployment.
• Begin mentoring junior engineers and actively sharing knowledge within the team.

Within 6 Months

• Drive measurable velocity improvements for your client.
• Contribute to team growth - identifying tooling improvements and participating in the hiring process., * A dedicated personal training programme (AI-Leap) to improve your skills, plus 1-on-1 coaching from Leads and our C-level.
• Become a certified cloud practitioner in your first month and dive straight into client projects.
• Regular feedback moments and project assessments to ensure continuous professional evolution.
• A specialised learning programme sharpening skills in leadership, stakeholder management, architecture, and Tech Due Diligence.
• Two career tracks available: technical deepening or engineering leadership - your path to choose.

Innovation & Work Environment ️

• Work from our modern office in Utrecht along the Oudegracht.
• Receive an Apple MacBook Pro and top-tier tools.
• Competitive salary: €4,500 - €6,200 per month gross (excl. holiday allowance, pension, performance bonus, and AI-Leap benefits).
• Annual Performance Bonus: Equivalent to 1.5 months' salary, recognising your individual contribution.

Work-life Balance & Culture

• 28 vacation days - including flexibility for 3 national holidays.
• Monthly social events: themed parties, sports tournaments, pub quizzes, and more.
• Yearly Enjins Summer Summit: 2-day event deep diving into the intersection of AI x Climate
• OV-First (Public Transport) travel policy, fully covering your commute.
• Meat-free catering during events.

We're looking for pragmatic engineers who thrive on solving complex problems with clean, scalable code - whether your background is software engineering, data science, econometrics, or another quantitative field. If you're willing to expand your skills and grow, we want to hear from you., * At least 3 years of relevant experience as an AI/ML Engineer, demonstrating a proven history of leading development projects.

• Strong proficiency in Python, SQL, and Git, with practical experience in containerization technologies such as Docker and Kubernetes, as well as ETL/ELT orchestration.
• Hands-on experience with one or more major cloud platforms (AWS, Azure, GCP) and a solid grasp of MLOps and LLMOps principles.
• Background in designing or working with Agentic or LLM-based systems, including RAG pipelines and orchestration frameworks.
• Knowledge of model evaluation, testing methodologies, and production monitoring practices.
• Experience in technical consultancy environments is highly advantageous.

Mindset & Approach

• You prioritise 'production-ready' over 'academic hype' and are comfortable engaging with board-level stakeholders to achieve results.
• You love discovering new programming languages and frameworks - our world is continuously evolving.
• Able to translate technical findings into clear, actionable insights for non-technical audiences. Fluent in English.

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, SnappCar, 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. What? [You'll be doing]