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# Ai engineer

- **Company:** Enjins
- **Location:** Utrecht, Netherlands
- **Salary:** €3,800.0 - €4,800.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Agentic-AI, Git, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Data Pipelines, Docker
- **Published:** October 28, 2026
- **Apply:** https://nl.talent.com/redirect?id=576489345627462599&source=vacant&utm_medium=xml&utm_campaign=marketing&utm_product=vacantnew_bulk&oapply=org_v2026-10&puid=edabadd9ddaaaddcbdd89dd7edddaddcadabbdda9dde9dd9bddcaddabdaeaddbcdd79dd7bea3addffddgaed2dddgaddgfddgaddgaddg9ddg6ed3gc9bbb9b3bee3ee33def3de93de73dedgddfgddffdda3ded3debgddd3ee33de93deg3ee33ee33deg3ee33ee33ee33ee33ee33ee3&pos=0&xml_batch_generation_id=534dee46-09ac-4089-90f8-bdec81a65679&falcon=1&pid=194cfc6bdef8&bpid=cf109f21d4b559b121c94521b173a5f6

## About the Role

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, Kubernetes), ETL/ELT tools, and the basics of LLMOps/MLOps.

Mindset & Approach

 * Driven by curiosity and a strong desire to grow towards becoming a Senior AI Engineer.
 * Comfortable engaging with clients - including executive-level stakeholders - with a genuine interest in driving results.
 * A passionate builder who wants to make a positive impact and continuously discover new technologies.
 * Able to communicate clearly with non-technical people, translating complex concepts into practical language.

Requirements

Fluent in English and eligible to work in the Netherlands. Dutch is not required.

## Description

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.
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 - 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

What success looks like (within 6 Months)
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.

Within 1 Month

 * 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.

Within 3 Months

 * 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.

Within 6 Months

 * 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.