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 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 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). xkdbapo
Discounts on major brands for employees (Club Capitole).

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Capitole | Empowering people, unlocking technology innovation

📌 Machine Learning Engineer (GenAI NLP) (Barcelona)
🏢 MindMatch
📍 Barcelona