Capitole keeps growing — and we want to do it with you!
Si está considerando enviar una solicitud, asegúrese de pulsar el botón de solicitar de abajo después de leer la descripción completa.
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).
Dont know us yet? Come discover us! ( )
See what people say about us
Glassdoor ( )
Capitole | Empowering people, unlocking technology innovation

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