Are you anAI LLM & Infrastructure Engineerlooking 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 anAI LLM & Infrastructure Engineerto 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 ****, 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 inComputer Science, Computer Engineering, Electronic Engineering, Telecommunications, or a related fieldis considered an advantage.
Professional experience inAI infrastructure, system administration, cloud infrastructure, or software engineeringis preferred.
Technical Skills
Experience withLinux, Docker and Kubernetes
Hands-on experience withNVIDIA GPU infrastructure
Knowledge ofTCP/IP and Linux networking
Experience with local, distributed, and object storage
Knowledge ofPython and Bash scripting
Experience withGit and CI/CD
Experience with REST APIs and service deployment
Knowledge of monitoring and observability
Good understanding ofLLM inference architectures
Experience withvLLM, 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 anAI LLM & Infrastructure Engineer, you will contribute to the design and operation of the infrastructure supporting AI and LLM applications.
Design and manageGPU infrastructurefor 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 usingvLLM, SGLang, TGI, or equivalent technologies
Optimise inference performance, latency, throughput, and resource utilisation
Support model quantisation and multi-GPU inference activities
Deploy AI workloads usingDocker 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 afull-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: € ****** – € ******, depending on relevant experience and qualifications.
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📌 Ai Llm & Infrastructure Engineer (Avezzano)
🏢 ESYEN
📍 Avezzano