AI Solutions Architect

beBeeGenerative; Madrid; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading AI solutions company in Madrid is looking for an experienced Generative AI Engineer to develop high-quality large language model solutions. You will work with data scientists to automate scalable platforms and integrate LLMs with external systems. The ideal candidate has a solid background in AI projects, cloud platforms, and proficiency in Python. This role provides exposure to senior leadership and transformative AI initiatives.

Servicios

Opportunity to work on high-priority LLM projects

Direct visibility to senior leadership

Chance to apply latest innovations in AI

Formación

• 2+ years of experience working with AI projects, specifically involving LLMs.
• Hands-on experience with cloud platforms (AWS, GCP, Azure).
• Strong programming skills in languages like Python, with a focus on machine learning frameworks.

Responsabilidades

• Develop high-quality LLM-based solutions that meet client needs.
• Design and automate scalable LLM platforms using Infrastructure as Code.
• Develop pipelines for the LLM lifecycle from training to deployment.

Conocimientos

Experience with large language models (LLMs)

Cloud platforms (AWS, GCP, Azure)

CI/CD tools (Jenkins, GitLab, GitHub Actions)

Programming skills in Python

Herramientas

Transformers

PyTorch

TensorFlow

Descripción del empleo

Overview

Generative AI Engineer Role

We are seeking an experienced Generative AI Engineer to join our team and contribute to the development of cutting-edge large language models (LLMs) for various applications. As a key member of our Data & Intelligence CoE, you will work closely with data scientists and engineers to design, implement, and deploy LLM-based solutions that drive business value.

Key Responsibilities

• Project Execution: Develop high-quality LLM-based solutions that meet client needs and exceed expectations.
• Platform Development: Design and automate scalable LLM platforms using Infrastructure as Code (IaC).
• CI / CD and MLOps Integration: Develop pipelines that streamline the LLM lifecycle from training and fine-tuning to deployment and performance monitoring.
• LLM Customization: Build custom solutions to integrate LLMs with external systems, leveraging APIs, middleware, and bespoke development.

Requirements

• 2+ years of experience working with AI projects, specifically involving LLMs.
• Hands-on experience with cloud platforms (AWS, GCP, Azure).
• Proficiency in CI / CD tools (Jenkins, GitLab, GitHub Actions) and experience building pipelines for AI / ML workflows.
• Strong programming skills in languages like Python, with a focus on machine learning frameworks like Transformers, PyTorch, or TensorFlow.

Benefits

• The opportunity to work on high-priority LLM projects for leading companies in Spain and Europe.
• Direct visibility to senior leadership and involvement in transformative AI initiatives.
• The chance to apply the latest innovations in LLMs and generative AI on platforms like AWS.