AI Engineer

Enjins

AI Engineer at Enjins designing and deploying end-to-end AI/ML systems to tackle Climate Tech challenges. Collaborating with clients and engineering teams to create measurable business impact.

Posted 5/25/2026full-timeUtrecht • 🇳🇱 NetherlandsMid-LevelSenior💰 €3,800 - €4,400 per monthWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerETLGoogle Cloud PlatformKubernetesPythonSQL

About the role

Key responsibilities & impact

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.
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.
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.

Requirements

What you’ll need

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, Kubernetes), ETL/ELT tools, and the basics of LLMOps/MLOps.
Fluent in English and eligible to work in the Netherlands. Dutch is not required.

Benefits

Comp & perks

A personalised, structured AI-Leap learning journey (mentoring, learning, and practice) with 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.
Semi-annual reviews with a 360-degree feedback process - transparent, continuous improvement.
Three career tracks to choose from as you grow: technical deepening, strategic expert or engineering leadership. The path is yours to define.
Join a dynamic team working at the forefront of Data & AI technology in a European setting.
Work from our office centrally located in Utrecht along the Oudegracht. (Note: our office is not yet fully accessible for individuals with physical disabilities.)
Receive an Apple MacBook Pro and the freedom of a scale-up role.
28 vacation days - including the flexibility to use 3 national holidays (Easter Monday, Whit Monday & Ascension Day) as part of your allowance.
Become part of a diverse and driven team —-engineers from varied backgrounds, enjoying monthly social events from themed parties and sports tournaments to board game nights and pub quizzes.
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 internal and external events.

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Hard Skills & Tools

PythonSQLGitMLOpsLLMOpsETLELTDockerKubernetesdata engineering

Soft Skills

collaborationcommunicationproblem-solvingtechnical masteryleadershiptranslating technical findingsinterviewingadaptabilityinsight generationteam sharing

Certifications

Bachelor's DegreeMaster's Degree