Xccelerated

FinTech

GENAIEngineer

€65–95k ~AI est. Randstad, Noord-Holland, Netherlands FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“GEN AI Engineer at Xccelerated. Skills: AI agents, GenAI tooling, Software delivery. Design AI-powered agents. Build AI-powered agents”

Industry & Context.

FinTech
Problems you'll solve

Go from ambiguous idea to working software

What They're Looking For.

Must Have

3–6 years experience, Shipped real things end-to-end, Understand full software delivery lifecycle, Experience with cloud platforms, Solid engineering fundamentals

Nice to Have

Show us something you've built

What You'll Do.

Design AI-powered agents

Build AI-powered agents

Turn GenAI prototypes into reusable building blocks

Embed agentic capabilities into tools

Define standards for agent design

Define standards for system integration

Define standards for developer experience

Help teams measure AI tooling impact

Coach engineers on GenAI

Mentor engineers on coding agents

How You'll Work.

Team & Collaboration

Newly formed hub; Cross-functional teams

Communication Scope

Communicate technical concepts

Full Job Description

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. You'll 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 isn't an AI enthusiast role. It's an engineering role for someone who happens to be obsessed with AI. We're looking for engineers with 3–6 years of experience who live and breathe this space. People who follow the latest model releases, experiment constantly, have opinions on agentic architectures, and can't stop building things. If you've been tinkering with LLM tooling, coding agents, or AI-assisted workflows in your own time, we want to talk. What you'll actually do You'll be part of a newly formed hub built to accelerate the software delivery lifecycle through AI. Think greenfield, you're not walking into a legacy team maintaining old infrastructure. You're 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 ## Requirements What we're look

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