AI Platform Engineer for Scalable Inference & Deployment

Visa Hunt; España; Presencial; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-friendly environment

Flexible working options

Competitive compensation package

Private health insurance

Descripción de la vacante

OpenNebula Systems seeks an AI Platform Engineer to contribute to the OneAI platform, enabling high-performance inference and training workloads across cloud and edge environments. You will integrate AI frameworks (vLLM, PyTorch, Unsloth) and build scalable APIs for provisioning and scheduling.

You will help design user workflows for model management, deployment configuration, and job operations, while improving observability and cost efficiency. Remote, international team.

Formación

• 3+ years of experience in applied AI, machine learning, or software engineering, with hands-on delivery of AI/ML solutions in production environments.

Responsabilidades

• Design, implement, and deploy advanced AI capabilities within the OneAI platform.
• Shape the end-user experience by designing intuitive workflows for model management, deployment configuration, and job operation.
• Bridge the gap between systems engineering and product design to ensure a seamless transition from backend infrastructure to user features.
• Develop and maintain reliable APIs for compute provisioning and workload scheduling.

Conocimientos

Applied AI

Machine learning

Software engineering

LLMs deployment

GPU orchestration

Cloud platforms

Independent work

Educación

Bachelor’s or Master’s degree in CS/IT/Engineering

Herramientas

vLLM

Unsloth

Hugging Face ecosystem

Transformers

Hub/Datasets

OpenNebula

Kubernetes

Descripción del empleo

OpenNebula Systems seeks an AI Platform Engineer to contribute to the OneAI platform, enabling high-performance inference and training workloads across cloud and edge environments. You will integrate AI frameworks (vLLM, PyTorch, Unsloth) and build scalable APIs for provisioning and scheduling.

You will help design user workflows for model management, deployment configuration, and job operations, while improving observability and cost efficiency. Remote, international team.