Generative AI Engineer
Our team of approximately 90 engineers is working in small scrum teams. Each team has end-to-end responsibility for a specific product or part of our architecture. We work on a remote-first basis, coming together in person at our Amsterdam headquarters twice a year.
Our organizational structure is flat, placing a high value on independence and entrepreneurship. The atmosphere is informal and relaxed, creating a highly motivating work environment in which you will work with some of the most inspiring colleagues in the industry.
What is the role about:
As an AI Engineer focused on internal automation, you will play a key role in transforming how we operate as a cloud hosting provider. Your mission is to identify inefficiencies in internal workflows, design intelligent automation solutions, and implement AI-powered tools that boost efficiency, accuracy, and scalability across departments such as operations, support, infrastructure, and finance.
This is a hands-on role that blends technical expertise in AI tooling with a understanding of cloud infrastructure and business processes.
Key Responsibilities
- Build and deploy AI models or integrate existing LLM-based tools (e.g. for ticket triage, predictive maintenance, anomaly detection, log analysis, contract summarization, etc.).
- Integrate platforms like n8n, LangChain, AutoGen, Zapier, or open-source alternatives to rapidly prototype and scale automations.
- Access and process structured and unstructured internal data (e.g., logs, metrics, tickets, CRM, billing) to fuel intelligent systems.
- Partner with Engineering teams, Support, Finance, and Security to ensure AI solutions align with technical realities and compliance needs.
- Ensure reliability, accuracy, and maintainability of deployed models or workflows; handle retraining, updating, or refining as needed.
What we’re looking for:
- Strong programming skills ideally with AI/ML libraries (e.g., scikit-learn, OpenAI API, Hugging Face).
- Hands-on experience with workflow automation platforms (n8n, LangChain, Airflow, etc.).
- Experience in AI, automation, or data engineering roles.
- Familiarity with cloud hosting environments and infrastructure tooling (e.g., OpenStack, Kubernetes, Prometheus, ELK).
- Ability to design and implement AI/LLM use cases like summarization, classification, anomaly detection, or chatbot-style interfaces.
- Experience in deploying, configuring, and managing self-hosted large language models (LLMs).
- Knowledge of data privacy and security principles
Nice to Have
- Experience integrating LLMs in internal tools (e.g., Mattermost, Slack, CRM).
- Knowledge of observability tools and metrics-driven automation (e.g., automating alert response).
- Experience with vector databases, embeddings, and retrieval-augmented generation (RAG).
- Contributions to open-source AI/ML or automation projects.
Benefits include :
- Participation in annual company bonus scheme and company pension
- Internet allowance
- Working from home policy
- Work from abroad: Up to 4 weeks per year, following policy guidelines
- Lease bike plan
- 25 days of paid time off (and the option to buy or sell up to 5 more days)
- Free lunch, parking, and fresh fruit provided when in the office
- Access to the Leaseweb Academy, a personalized learning platform offering a variety of studies, (Dutch) courses, and trainings
- Attractive relocation packages and an agency that takes care of the entire visa process
- Fun events year-round – from virtual pub quizzes to summer parties, company runs, quarterly hackathons and much more
- A multicultural work environment (our colleagues are from over 60 countries!) in a company where you can truly make a difference
Ready for the next step?
If you’d like to apply, please do so online. To learn more about us, follow us on LinkedIn or Instagram to get an inside look at life at Leaseweb. For questions, please reach out to Jana Reiss, Talent Acquisition Lead, at: [email protected].
We directly source all candidates – any unsolicited profiles received from recruitment agencies will be treated as direct applications.
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