AI Software Engineer

October 27, 2026

Hybrid

Middle

Amsterdam, Netherlands

Indeed

Keep in mind

Original vacancy is in Dutch
You will likely need Dutch for the job. The employer can confirm

Also worth knowing

English is required
Part-time role

Description

AI Software Engineer in the Digital Innovation & Analytics department, joining the AIRCAT & People Analytics team that works on AI risk and compliance. The engineer works in a multidisciplinary Scrum team, automating business processes and building data products such as models, dashboards and AI solutions that support decision-making. The role combines front-end, back-end and applied AI work, taking proofs of concept through to reliable, maintainable production solutions. Close collaboration with data engineers and data scientists, plus coaching colleagues towards stronger engineering practices, is central to the position.

Responsibilities

Join the AIRCAT & People Analytics Team within the Digital Innovation & Analytics department
Work in a multidisciplinary Scrum team
Strengthen the team's software engineering capabilities
Automate business processes
Build data products such as models, dashboards and AI solutions that support and steer decision-making
Improve code quality, scalability and maintainability across the domains
Work across Compliance, Non-financial Risk, Financial Risk, Internal Control and HR domains
Research how new AI capabilities can be applied in practice
Translate new AI possibilities into meaningful product improvements
Help colleagues understand and effectively use new AI capabilities
Shape the future of Wealth Management by combining data, AI and robust software engineering practices
Coach and train others, sharing best practices and an engineering mindset

Requirements

3–5 years of experience
3–5 years of experience building applications, with strong hands-on experience in Python and TypeScript
Proven experience building solid end-to-end customer-facing products and moving POCs to production-ready solutions
Strong background in Python and Angular or another UI framework
Hands-on experience with Azure and Azure DevOps, including automated build and release pipelines
Experience with .NET is a strong plus
Experience with Databricks is a plus
A practical mindset and clean, maintainable code that works in real-life environments
Solid experience with Angular
Good working knowledge of JavaScript, TypeScript, RxJS, HTML5 and CSS
Ability to build responsive, user-friendly interfaces for data-rich applications
Strong experience developing and integrating RESTful APIs, preferably hands-on with .NET
Comfortable connecting front-end applications, back-end services and external systems
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
Curiosity about new AI developments and enthusiasm for turning ideas into practical solutions
Good command of English, both spoken and written
Naturally curious, self-motivated and eager to learn
Comfortable experimenting, asking questions and sharing ideas with the team
Enjoy taking on an ambitious goal and figuring out how to reach it
Enjoys coaching and training colleagues, sharing best practices and improving the team's way of working

Conditions

Gross monthly salary between € 5000 and € 7000 depending on knowledge and experience
Additional flexible budget of 19.47% of gross salary, including 13th month, 8% holiday allowance and 7 extra statutory leave days
Budget can be used for a bike, a gym membership or saving for a sabbatical, or paid out at any moment in the year
MacBook or Dell with i9 processor and an iPhone
Flexible working hours with two days per week at the office for team meetings or brainstorms and the other days from home
Training opportunities and the chance to attend conferences
Excellent pension scheme
Up to 2 months per year working from abroad, to extend family visits or holidays
Option to swap national holidays for religious holidays
Co-working and co-living opportunities with the team
Weekly technical knowledge sessions, annual hackathons with colleagues and clients, and a monthly department meeting
Hybrid way of working supporting a good work-life balance