Capitole keeps growing — and we want to do it with you! 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.
Si los siguientes requisitos del puesto y la experiencia coinciden con sus habilidades, por favor, asegúrese de enviar su solicitud sin demora.
This is a hands-on engineering role, where focus is shipping Gen AI/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 Auto ML tools, and you like owning the technical solution end-to-end, this is for you.
What you'll find here: Building production-ready Gen AI/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 Gen AI tooling (Open AI, 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 / Gen AI / 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, Py Torch) 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.
Adaptable working hours to balance your professional and personal life.
Private health insurance fully paid by Capitole.
Flexible compensation: meal, transport and/or childcare vouchers.
Well Hub (Gymforless). xqbhyrx
Discounts on major brands for employees (Club Capitole).
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📌 Machine learning engineer (genai & nlp) (Madrid)
🏢 Capitole
📍 Madrid