AI LLM Infra Engineer - GPU & Hybrid Cloud

Esyen; Avezzano; On-site; EUR 22,000 - 37,000; Full time

Benefits offered by this job

Health coverage

Professional development

Team building

Welfare benefits

Flexible hours

Career growth

Job summary

ESYEN seeks an AI LLM & Infrastructure Engineer to design, deploy and operate AI infrastructure supporting LLM and RAG workloads. You will work with AI, software engineering and R&D teams to optimise multi-GPU, storage and networking for cloud, on-premise and hybrid environments.

The role focuses on GPU infra, LLM deployment and scalable infrastructure, with emphasis on modern open-source tools and observability in a fast-paced R&D setting.

Qualifications

• Experience with AI infrastructure, system administration or cloud infra.
• Hands-on Linux, Docker and Kubernetes experience.
• Familiarity with GPU infrastructure and AI/LLM tech.

Responsibilities

• Design and operate GPU infrastructure for AI/LLM workloads.
• Deploy and manage open-source LLMs and inference servers.
• Configure multi-GPU servers and storage for AI workloads.
• Monitor performance, troubleshoot bottlenecks and ensure reliability.

Skills

Linux

Docker

Kubernetes

NVIDIA GPU

TCP/IP networking

Storage (local & distributed)

Python

Bash scripting

Git & CI/CD

REST APIs

Monitoring & observability

LLM inference architectures

vLLM / SGLang / HuggingFace TGI

Education

CS/CE/EE/Telecom degree (advantage)

Job description

ESYEN seeks an AI LLM & Infrastructure Engineer to design, deploy and operate AI infrastructure supporting LLM and RAG workloads. You will work with AI, software engineering and R&D teams to optimise multi-GPU, storage and networking for cloud, on-premise and hybrid environments.

The role focuses on GPU infra, LLM deployment and scalable infrastructure, with emphasis on modern open-source tools and observability in a fast-paced R&D setting.