GEN AI Engineer

Gen AI Engineer

Xccelerated Randstad Full-time

At Xccelerated we place engineers where they can have real impact and this one is about as high-impact as it gets.

A large Dutch financial institution is rethinking software delivery from the ground up. The goal: roll out AI agents and GenAI tooling across a massive engineering organisation and change how software actually gets made not just in theory but in practice at scale. Youll join this transformation as an Xccelerated engineer embedded in a newly formed hub that sits at the centre of it all for at least the first year.

This isnt an AI enthusiast role. Its an engineering role for someone who happens to be obsessed with AI. Were looking for engineers with 36 years of experience who live and breathe this space. People who follow the latest model releases experiment constantly have opinions on agentic architectures and cant stop building things. If youve been tinkering with LLM tooling coding agents or AI-assisted workflows in your own time we want to talk.

What youll actually do

Youll be part of a newly formed hub built to accelerate the software delivery lifecycle through AI. Think greenfield youre not walking into a legacy team maintaining old infrastructure. Youre helping define what modern software engineering looks like inside a major financial institution.

In practice that means:

• Designing and building AI-powered agents that improve how engineers write test review and ship code

• Turning GenAI experiments and prototypes into robust reusable building blocks that teams across the organisation can adopt

• Embedding agentic capabilities directly into existing engineering tools and workflows

• Defining standards for agent design system integration and developer experience

• Helping teams measure the actual impact of AI tooling on software delivery

• Coaching and mentoring engineers on how to work effectively with GenAI and coding agents day-to-day

What were looking for

36 years of experience in a technical role; software engineering DevOps cloud ML engineering or data science. What matters more than the title is whether youve shipped real things end-to-end and understand the full software delivery lifecycle.

Youre the kind of person who:

• Is genuinely passionate about AI. You follow the space closely have strong opinions and are constantly experimenting

• Has used coding agents and agentic tools in practice (in production on side projects in hobby builds it all counts)

• Builds across languages tools and stacks comfortably. You solve the problem with whatever fits best

• Has experience with cloud platforms and solid engineering fundamentals: testing deployment observability infrastructure as code

• Can go from ambiguous idea to working software without needing a perfect brief

• Communicates technical concepts clearly to both engineers and non-technical stakeholders

• Thrives in ambiguity adapts fast and finishes what they start

Bonus points if you can show us something youve built a side project a prototype a tool you hacked together because you were curious.

What you wont find here

A slow-moving environment where good ideas die in committee. This hub has active leadership sponsorship a mandate to move fast and the freedom to experiment. If you want to see your work reach thousands of engineers this is that opportunity.

The practical stuff

• Location: Randstad (hybrid)

• Hours: 40 hours per week