AI engineer in compliance

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.

• 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.

• 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.
• Будет плюсом: Experience with Python is a plus, especially for AI prototyping, automation or working with data; Experience with Databricks is a plus

• 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.