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

¡Inscríbase sin demora! Se espera un gran volumen de solicitantes para el puesto que se detalla a continuación, no espere para enviar su CV.
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). xiphteb
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📌 Machine Learning Engineer (GenAI & NLP) (La Coruña)
🏢 Capitole
📍 La Coruña