AI LLM & Infrastructure Engineer

Esyen; Avezzano; On-site; EUR 30,000 - 37,000; Full time

Benefits offered by this job

Health coverage

Professional development

Team-building activities

Welfare benefits

Flexible working hours

Growth opportunities

Job summary

ESYEN is seeking an AI LLM & Infrastructure Engineer to design, deploy and operate AI infrastructure for LLM and agentic applications. You will ensure GPUs, storage, networking, and orchestration support high-performance AI workloads across cloud and on‑prem environments.

You will collaborate with AI, Software Engineering, and R&D teams to optimise inference architectures and infrastructure costs while improving reliability and scalability.

Qualifications

• Degree in CS/Engineering or related field is an advantage.
• Professional experience in AI infrastructure, system administration, cloud infra, or software engineering is preferred.

Responsibilities

• Design and manage GPU infrastructure for AI/LLM workloads.
• Configure and maintain multi-GPU servers.
• Deploy and manage open-source LLMs.
• Monitor GPU, memory, and compute resources.
• Support cloud, on-premise, and hybrid environments.
• Configure inference servers using vLLM, SGLang, or TGI.

Skills

Linux

Docker

Kubernetes

NVIDIA GPU

TCP/IP

Linux networking

Storage

Python

Bash scripting

Git

CI/CD

REST APIs

Monitoring

LLM Inference

vLLM

SGLang

TGI

Education

Bachelor's degree in Computer Science, Computer Engineering, Electronic Engineering, Telecommunications, or related field

Tools

Docker

Kubernetes

NVIDIA GPU tooling

Git

CI/CD pipelines

Job description

Are you an AI LLM & Infrastructure Engineer looking for an opportunity to work on innovative Artificial Intelligence and Large Language Model technologies?

Would you like to contribute to the design, deployment, and management of AI infrastructure, working in an environment where GPU, cloud, on-premise, and distributed systems play a key role?

We are looking for an AI LLM & Infrastructure Engineer to join our team, supporting the development and operation of the infrastructure required for AI, LLM, RAG, and agentic applications.

You will work on the design, deployment, maintenance, and optimisation of AI infrastructure, collaborating closely with AI, Software Engineering, and R&D teams.

ABOUT US

ESYEN is an engineering company offering services to the Space Industry, working with major international Customers and Agencies such as EUSPA and ESA. Since 2012, we have played an active role in major European Space Programmes, including Earth Observation, Navigation and Secure Satcom.

Our team has a solid track record in providing Ground Segment services across major European Space Programmes. ESYEN operates in Italy, Germany, France and Spain, with a strong commitment to innovation and quality of service.

WHAT WE LOOK FOR

A degree in Computer Science, Computer Engineering, Electronic Engineering, Telecommunications, or a related field is considered an advantage.

Professional experience in AI infrastructure, system administration, cloud infrastructure, or software engineering is preferred.

Technical Skills

• Experience with Linux, Docker and Kubernetes
• Hands-on experience with NVIDIA GPU infrastructure
• Knowledge of TCP/IP and Linux networking
• Experience with local, distributed, and object storage
• Knowledge of Python and Bash scripting
• Experience with Git and CI/CD
• Experience with REST APIs and service deployment
• Knowledge of monitoring and observability
• Good understanding of LLM inference architectures

Experience with vLLM, SGLang, Hugging Face TGI, or equivalent technologies is considered a strong advantage.

• Strong engineering and problem-solving approach
• Proactive and structured attitude
• Ability to work across software and infrastructure activities
• Strong attention to detail
• Good communication and teamwork skills
• Ability to work effectively in an R&D environment

WHAT YOU WILL DO

As an AI LLM & Infrastructure Engineer, you will contribute to the design and operation of the infrastructure supporting AI and LLM applications.

• Design and manage GPU infrastructure for AI/LLM workloads
• Configure and maintain multi-GPU servers
• Manage GPU, VRAM, storage, and computing resources
• Support cloud, on-premise, and hybrid environments
• Deploy and manage open-source LLMs
• Configure inference servers using vLLM, SGLang, TGI, or equivalent technologies
• Optimise inference performance, latency, throughput, and resource utilisation
• Support model quantisation and multi-GPU inference activities
• Deploy AI workloads using Docker and Kubernetes
• Support autoscaling, scheduling, and workload management
• Configure networking and storage required by AI workloads
• Contribute to distributed and multi-node GPU environments
• Monitor GPU, memory, inference performance, and system resources
• Implement logging, monitoring, and observability
• Investigate infrastructure bottlenecks and performance issues
• Contribute to improving reliability, scalability, and infrastructure costs

BENEFITS

The successful candidate will be offered a full-time contract, with a competitive salary package reflecting skills and experience and aligned with the company’s salary scale.

Additional benefits include:

• Health coverage as outlined by the applicable national contract
• Access to professional development and training opportunities
• Team-building and extracurricular activities
• Enhanced annual welfare benefits
• Flexible working hours, where compatible with project requirements
• Opportunities for professional growth

Salary range: € 30.000 – € 37.000, depending on relevant experience and qualifications.