AI Engineer

MarvelX AI; Amsterdam; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

MarvelX AI is hiring an AI Engineer to help push the boundaries of what’s possible with AI in production. You’ll design, build, and deploy AI agents that solve mission-critical problems for clients in regulated industries.

You’ll work directly with founders and tech leads to ship real products and own end-to-end client deployments. You’ll explore LLMs, RAG, and multi-agent orchestration, while ensuring explainability and auditability across the stack.

Qualifications

• 4–6 years of hands-on experience building AI/ML systems.
• Strong in Python and the modern LLM/agent stack (model APIs, orchestration frameworks, vector DBs).
• Experience with LLMs and agentic architectures - built, broken, and improved.

Responsabilités

• Build and deploy AI agents that handle real-world workflows in insurance, banking and other financial services domains.
• Experiment with LLMs, retrieval-augmented generation (RAG), tool-use, and multi-agent orchestration to push performance.
• Design pipelines that ensure explainability, traceability, and auditability for every decision the AI makes.
• Own client delivery, directly; scope integrations, run demos, and ship deployments.

Connaissances

Python

LLM/agent stack

Agentic architectures

Production deployment

Client-facing

Outils

Vector DBs

Orchestration frameworks

Model APIs

Description du poste

We’re hiring builders who want to solve meaningful problems with AI.
Our team values clarity, speed, and doing work that lasts.

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 a AI Engineer to help us push the boundaries of what’s possible with AI in production. Someone who thrives at the intersection of cutting-edge research and shipping real products. Someone who can turn ideas into working systems, fast. You’ll work directly with the founders and tech lead to design, build, and deploy AI agents that solve mission‑critical problems for our clients.

This isn’t a typical engineering role. It’s an early seat on the rocket ship.
If that sounds like your kind of challenge, let’s talk.

Mission

As a founding AI Engineer, you’ll be at the core of MarvelX’s product and tech evolution. You’ll take ownership of designing and building agentic systems that can handle high‑stakes, high‑complexity workflows. You’ll explore the edge of LLMs, reasoning engines, and orchestration frameworks, and bring them to life in production environments where reliability, compliance, and explainability matter.

What you’ll be doing

Build and deploy AI agents that handle real‑world workflows in insurance, banking and other financial services domains.

Experiment with LLMs, retrieval‑augmented generation (RAG), tool‑use, and multi‑agent orchestration to push performance.

Design pipelines that ensure explainability, traceability, and auditability for every decision the AI makes.

Own client delivery, directly. Today every new client is its own small project: you scope the integration, sit in the calls, run the demo, and ship their deployment. You talk to clients yourself, not through a layer, and steadily turn that per‑client work into a self‑serve platform.

Do whatever the outcome needs. Backend, frontend, infra, glue. You own the product a client gets, not just the AI part of it.

Optimize models and systems for production: latency, accuracy, scalability, and security.

Stay ahead of the curve: explore new architectures, open‑source tools, and research to keep MarvelX at the frontier.

What you’ll need

4–6 years of hands‑on experience building AI/ML systems (startups, scale‑ups, or research labs).

Strong in Python and the modern LLM/agent stack (model APIs, orchestration frameworks, vector DBs, evals).

Experience with LLMs and agentic architectures - you’ve built with them, broken them, and made them better.

Comfortable shipping to production end‑to‑end across the stack, not only the AI layer: pipelines, integration, deployment.

Client‑facing by instinct. You can sit with a client, turn a vague need into scope, and ship it. You own the project, not just the ticket.

Product‑minded owner. You reach for whatever the problem needs and care about the user’s outcome, not just the model.

Proactive, scrappy, and able to ship fast without compromising on quality.

Excited by solving hard problems where there’s no clear playbook – and you create the playbook.

Bonus: exposure to compliance, fintech, or other regulated domains where explainability is critical.

Location & eligibility

Based in Amsterdam, at least 3 days a week in the office. Work eligibility in the Netherlands required; we are not able to sponsor visas in the Netherlands yet.

The audit‑ready AI workforce for modern insurance carriers and TPAs.