AI Integration & Automation Engineer

We are looking for an AI Integration & Automation Engineer to build practical AI and automation solutions. You will help create a secure workspace where people can discover, build and use AI tools, taking agents from prototype to reliable production use.

Your role

• Develop AI agents and connect them to knowledge sources and business systems.
• Build API integrations and connectors for Microsoft 365, SharePoint, Teams, Dataverse and other systems.
• Develop agentic workflows using knowledge grounding and retrieval-augmented generation.
• Build reusable components and tests, with attention to access control, security and reliability.
• Take solutions from prototype to production, considering governance, lifecycle management and maintenance.
• Work with data, AI, IT and business colleagues to turn needs into working solutions.

You have

• Three years of experience developing applications based on an unspecified technology.
• One year of experience testing and evaluating LLM solutions.
• One year of experience securing AI agents, including against prompt injection.
• Two years of software development experience in Python, TypeScript or JavaScript.
• Two years of experience with API integration.

A plus

• Experience writing code for programming assignments.
• Experience in software testing.
• Experience in debugging.
• Experience in data engineering or analytics engineering.
• Experience deploying, configuring and managing open-source AI platforms such as LibreChat or Open WebUI, including SSO and LLM provider connections.
• Experience with Power Automate.
• Experience with Power Apps.
• Experience with Microsoft Power Platform.
• Knowledge and experience of Agile development.
• Experience with Azure or a comparable cloud platform.
• Knowledge of Microsoft Graph.
• Knowledge of Dataverse or comparable data sources.
• Knowledge of knowledge grounding.
• Knowledge of tool calling.
• Knowledge of Microsoft Copilot Studio or a comparable agent platform.
• Knowledge of retrieval-augmented generation (RAG).
• Knowledge of AI consumption models, including tokens and Copilot credits, and experience monitoring and optimising consumption.
• Dutch at C2 level.
• Practical experience with generative AI.
• Practical experience with large language models.
• Experience with AI agents or conversational AI.
• Experience with prompt engineering.
• Experience with context engineering.
• Experience with Microsoft 365 integrations.
• Experience with integration connectors.
• Knowledge of REST APIs.
• Knowledge of JSON.
• Knowledge of SQL.
• Knowledge of Git.
• Knowledge of authentication.
• Knowledge of authorisation.
• Ability to turn loosely defined ideas into working solutions.
• Understanding of business needs.
• Ability to explain technical choices to non-technical colleagues.
• Ability to collaborate with business and IT colleagues.
• A willingness to share knowledge.
• Ability to build reusable solutions.
• A bachelor's degree or master's degree in IT, computer science or software engineering, or equivalent experience.
• Several years of relevant experience in software development, automation or AI development.
• A certification such as PL-400, AB-400, AB-410 or AB-100.