Capitole keeps growing — and we want to do it with you!
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Were looking for an
AI/ML Engineer
to join a global leader in HR technology — a team
building Generative AI assistants
used across integral 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 youll 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).
Were 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). xqbhyrx
Discounts on major brands for employees (Club Capitole).
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Capitole | Empowering people, unlocking technology innovation

📌 Machine Learning Engineer (GenAI & NLP) (Santiago de Compostela)
🏢 Capitole
📍 Santiago de Compostela