AI Accelerator

At Alliander, we are at the forefront of the energy transition. As an AI Engineer, you will play a crucial role in accelerating knowledge sharing between teams and enabling the automation of daily work processes.

We are looking for a highly skilled AI Engineer to join our dynamic team. As a key member, you will be responsible for the development, integration, and rollout of LLM agents that accelerate knowledge sharing between teams. You will also support other teams with our MLOps platform to create and deploy ML models, while keeping a keen eye on cloud and MLOps best practices.

As a team, we offer two products: the Voltix Assistant and the Voltix MLOps platform. The Voltix Assistant product will provide a smooth, standardized rollout of LLLM agents for various internal use cases. The main focus of these use cases will be to make the right knowledge easily accessible within our large organization.

The Voltix MLOps platform helps other teams get started quickly and accurately through a standardized AWS cloud environment, both for developing, testing, and deploying ML models, as well as for conducting data analyses. We do not create models ourselves; we are a platform team.

We are creating the energy grid of the future, for everyone, with everyone. And as AI Engineer, you can play your part in this.

• Translating LLM use cases into technical solutions and standardized solutions for multiple use cases where possible.
• Implementing, rolling out, and managing LLM agents, with a preference for existing frameworks and LLM models.
• Integrating internal data sources (such as Share Point and Confluence) as a knowledge base for the LLM agents.
• Embedding LLM agents into end-user tools, such as Microsoft Teams.
• Maintaining the MLOps platform on AWS for secure and controlled delivery of ML models by data science teams.

You will be part of a young and dynamic team made up of a Product Owner, Tech Lead, Scrum Master, and six AI engineers. Together, we leverage our experience with AWS, MLOps, and data science to accelerate AI advancements at Alliander.

To succeed in this role, you will need:

• Bachelor's or Master's level, preferably in an IT-related field, with at least 5 years of relevant work experience.
• Skill in translating functional requirements into technical specifications in platform engineering.
• Experience with generative AI, LLM frameworks, and applications such as AWS Bedrock and Microsoft Copilot.
• Expertise in Dev Ops and MLOps, focused on managing and deploying AI and ML applications.
• Extensive experience in setting up AWS cloud solutions for various applications.
• Proficiency in using Git, CI/CD, Git Hub Actions, AWS CDK, Type Script, Python, Docker, Jupyter Notebooks, Sage Maker, and other commonly used data science and ML tools.

We offer a competitive salary, benefits package, and opportunities for professional growth and development.

We estimate the gross monthly salary for this position to be between €4,955 to €7,079 per month, based on a 40-hour working week. Additionally, you will receive an annual Individual Choice Budget (IKB) of 18% (full time) or 12.8% (part time) of your gross annual salary.