Capitole keeps growing — and we want to do it with you! ¿Quiere enviar su solicitud? Lea toda la información sobre este puesto a continuación y luego pulse el botón de solicitar. We're looking for an

AI/ML Engineer

to join a global leader in HR technology — a team

building Generative AI assistants

used across global 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. Adaptable compensation: meal, transport and/or childcare vouchers. WellHub (Gymforless). xbhjioe Discounts on major brands for employees (Club Capitole).

Don't know us yet? Come discover us! ( ) See what people say about us Glassdoor ( )

Capitole | Empowering people, unlocking technology innovation

📌 Machine Learning Engineer (GenAI & NLP) (Vitoria-Gasteiz)
🏢 Capitole
📍 Vitoria-Gasteiz