Ingeniero de IA (Sistemas Agénticos y Servicios LLM)

Salary: Starting from €45,000 per annum gross, subject to location, skills and experience

• Global, remote, and thriving: We're a global team of talented individuals spread across 26 countries. Our WorkFlex program lets you work from anywhere, anytime. Whether it's a beachside office or a cosy home office, the choice is yours.
• Your well-being is our priority: We know mental health matters, which is why we offer a dedicated Well-Being Day-a full day off just to recharge and relax.
• Get fit and stay active: Whether it's yoga, weightlifting, or a quick jog-work out on your terms, at a discount with our subsidized gym memberships.
• Learn, grow, and develop: We believe in constant growth. With our Training & Development Allowance, you'll have all the opportunities you need to keep expanding your skills and knowledge.
• Stay connected: Take part in exciting annual team meetups!

*Benefits vary depending on location due to local laws and regulations.

We don't just need an AI Engineer - we need a builder. We're looking for someone who gets their energy from turning messy, real-world workflows (document processing, customer support interactions, contracts, sales and account operations) into reliable AI-powered services, while keeping a sharp, analytical focus on how their work delivers real business impact.

This isn't a role for someone who wants to stay in their lane. You'll be at the center of it all - owning AI services from prototype to production: agents, LLM pipelines and the MCP tooling around them - ensuring everything you touch is reliable, measurable and secure] and aligned with our wider goals.

You won't be a solo operator. You'll collaborate with the engineering and the product development teams, bringing everything together to ensure consistency, impact, and momentum across the board.

• Design, build and ship production AI services in Python (FastAPI, async), including multi agent systems and LLM-powered pipelines for document processing, chatbots and CRM automation.
• Develop and maintain MCP servers and integrations that give agents safe, well-scoped access to company systems.
• Build retrieval and ingestion pipelines: document parsing, chunking, embeddings and vector search, over AWS storage.
• Evaluate and improve quality. This means benchmarks, regression tests, replay of real cases and prompt/playbook iteration, with cost and latency in view.
• Operate what you build: containerized deployments, observability, authentication and PII safe handling of employee and customer data.
• Contribute to AI governance by keeping lifecycle records, documenting risks and decisions, and supporting different ISO evidence.

What It Takes to Make an Impact Here...

Location: Remote (Within +/- 2 hours of CET)

Contract type: Full-time