About the role
As an AI Engineer in the Digital Innovation & Analytics department, you will join the AIRCAT & People Analytics Team (AI Risk Compliance Team). You will work in a multidisciplinary Scrum team, where you will play a key role in strengthening the team's software engineering capabilities while automating business processes and building data products that inform and guide decision-making, such as models, dashboards and AI solutions.
Responsibilities
•Strengthen the team's software engineering capabilities while automating business processes and building data products that inform and guide decision-making, such as models, dashboards and AI solutions.
•Help bring a strong engineering mindset to the team – improving code quality, scalability and maintainability – while working across the following domains: Compliance, Non-Financial Risk, Financial Risk, Internal Control and HR.
•Explore how new capabilities can be applied in practice, translate them into meaningful product improvements and help colleagues understand and use them effectively.
•Help move from POCs to production-ready solutions, with a focus on reliability and maintainability.
•Help data engineers and data scientists embrace a software engineering mindset.
•Coach and train others, share best practices and enable teams to continuously improve their engineering skills and ways of working.
•Build responsive, user-friendly interfaces for data-rich applications.
•Develop and integrate RESTful APIs.
•Connect front-end applications, back-end services and external systems.
•Turn ideas into practical, valuable solutions by combining front-end, back-end and applied AI skills.
Requirements
•3–5 years of experience building applications, with strong hands-on experience in C# and TypeScript.
•Experience with Azure and Azure DevOps, including automated build and release pipelines.
•A practical mindset: you enjoy writing clean, maintainable code that works in real-life environments.
•Solid experience with Angular.
•Good working knowledge of JavaScript, TypeScript, RxJS, HTML5 and CSS.
•Strong experience developing and integrating RESTful APIs, preferably with hands-on experience in .NET.
•Experience building applications or prototypes with LLM APIs such as OpenAI, Anthropic or Gemini.
•Familiarity with LLM concepts such as prompting, tool calling, structured outputs and evaluation.
•Good command of English, both spoken and written.
•Naturally curious, self-motivated and eager to learn. You are comfortable experimenting, asking questions and sharing ideas with the team.
•You enjoy being given an ambitious goal and figuring out how to reach it by combining your front-end, back-end and applied AI skills.
Nice to have
•Experience with Python is a plus, especially for AI prototyping, automation or working with data.
•Experience with Databricks is a plus.
Conditions
•A gross monthly salary between €5000 and €7000, depending on your knowledge and experience.
•An additional flexible budget of 19.47% of your gross salary, including a thirteenth month, 8% holiday allowance and 7 extra statutory leave days. You can use it for, for example, a bicycle, a monthly gym membership or saving for a sabbatical. You can also have the full budget paid out at any time during the year.
•A MacBook or Dell with an i9 processor and an iPhone.
•Flexible working hours; you come to the office twice a week for team meetings or brainstorming sessions and work from home on the other days.
•Training opportunities and the chance to attend conferences.
•An excellent pension scheme.
•The possibility of working abroad for up to 2 months per year.
•You can extend a family visit or holiday by working remotely.
•The possibility of exchanging national public holidays for religious holidays.
•Co-working/co-living opportunities with your team.
•Weekly technical knowledge sessions, annual hackathons with colleagues and clients, and a monthly meeting with the whole department to share and have fun.
