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Fulltime · Amsterdam

AI Engineer Intership

About MarvelX

MarvelX is building highly specialized AI agents for the most complex, heavily regulated industries. Think insurance claims, compliance, support. Automated by AI that actually works in the real world. The opportunity is massive, and we’re moving fast.

We’re looking for an AI Engineer Intern who’s eager to learn, experiment, and help push the boundaries of what’s possible with AI in production. You’ll work directly with our founders and engineers, gaining hands-on experience designing, building, and testing AI agents that solve mission-critical problems.

This isn’t a typical internship. You’ll get real ownership, exposure to cutting-edge AI, and the chance to make an impact from day one.

Mission

As an AI Engineer Intern at MarvelX, you’ll support the development of agentic AI systems that handle high-stakes, high-complexity workflows. You’ll experiment with the latest LLMs, reasoning frameworks, and orchestration tools, while learning how to bring AI to production environments where reliability, compliance, and explainability matter.

What you'll be doing

Prototype and test AI agents for real-world workflows.
Experiment with LLMs, retrieval-augmented generation (RAG), and multi-agent orchestration.
Help design pipelines that improve reliability, explainability, and performance.
Collaborate with product and GTM teams to iterate based on customer needs.
Research new AI tools and share your learnings with the team.

Prototype and test AI agents for real-world workflows.
Experiment with LLMs, retrieval-augmented generation (RAG), and multi-agent orchestration.
Help design pipelines that improve reliability, explainability, and performance.
Collaborate with product and GTM teams to iterate based on customer needs.
Research new AI tools and share your learnings with the team.

What you'll need

Strong Python skills and familiarity with ML frameworks (e.g. PyTorch, TensorFlow).

Curiosity about LLMs, RAG, and agentic AI systems.
Some experience with AI/ML projects (through school, hackathons, research, or personal projects).
A fast learner who’s proactive, scrappy, and not afraid to figure things out.
Excited by solving open-ended problems where there’s no clear playbook.

Strong Python skills and familiarity with ML frameworks (e.g. PyTorch, TensorFlow).

Curiosity about LLMs, RAG, and agentic AI systems.
Some experience with AI/ML projects (through school, hackathons, research, or personal projects).
A fast learner who’s proactive, scrappy, and not afraid to figure things out.
Excited by solving open-ended problems where there’s no clear playbook.

Bonus