Capitole keeps growing — and we want to do it with you!

We're looking for an AI/ML Engineer to join a global leader in HR technology — a team building Generative AI assistants used across general markets.

This is a hands-on engineering role , where focus is shipping GenAI/NLP models to production in Python , working shoulder-to-shoulder with MLEs inside a lean 5–6 person squad across 3–4 projects. If you code your ML solutions yourself rather than leaning on out-of-the-box AutoML tools, and you like owning the technical solution end-to-end, this is for you.

What you'll find here

Building production-ready GenAI/LLM features — chatbot assistants and NLP systems, from prototype to production.

Writing structured, quality Python with real engineering discipline: PR practices, Git, CI/CD, Docker .

Designing end-to-end NLP pipelines — data processing, model development, evaluation, deployment.

Getting hands-on with LLMs, embeddings and modern GenAI tooling (OpenAI, AWS Bedrock).

We're looking for someone who:

Brings 3–5 years of experience building production features/systems with AI/ML .

Writes advanced, production-grade Python — not notebook scripting.

Has worked on real NLP / GenAI / LLM projects and can explain them in depth — embeddings, evaluation metrics beyond accuracy, how they assessed system performance.





Thinks like an ML engineer : moves models to production, understands the full pipeline, applies solid coding practices ( Git, PR, CI/CD, Docker ).

Knows their way around ML libraries (scikit-learn, PyTorch) and data processing (pandas).

Nice to have

Experience with Databricks.

Familiarity with AWS infrastructure (S3, Lambda, Bedrock).

Understanding of data augmentation, bias and training pipelines .

A Software Engineering background with a recent move into AI/ML.

Location: Barcelona. (Hybrid: 1–2 days in the office).

️ Language : English C1 (Fluent, all team communication is in English).

Why CAPITOLE?

An individual training budget of €1,200 for whatever you choose: events, books, certifications or courses.

Monthly check-ins with your team for continuous feedback.

Flexible working hours to balance your professional and personal life.

Private health insurance fully paid by Capitole.

Flexible compensation: meal, transport and/or childcare vouchers.

WellHub (Gymforless).

Discounts on major brands for employees (Club Capitole). ️

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Capitole | Empowering people, unlocking technology innovation

📌 Machine Learning Engineer (GenAI & NLP) (Castro Urdiales)
🏢 Capitole
📍 Castro Urdiales