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 USESYEN 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 FORA 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 SkillsExperience with Linux, Docker and KubernetesHands-on experience with NVIDIA GPU infrastructureKnowledge of TCP/IP and Linux networkingExperience with local, distributed, and object storageKnowledge of Python and Bash scriptingExperience with Git and CI/CDExperience with REST APIs and service deploymentKnowledge of monitoring and observabilityGood understanding of LLM inference architecturesExperience with vLLM, SGLang, Hugging Face TGI,



or equivalent technologies is considered a strong advantage.Strong engineering and problem-solving approachProactive and structured attitudeAbility to work across software and infrastructure activitiesStrong attention to detailGood communication and teamwork skillsAbility to work effectively in an R&D environmentWHAT YOU WILL DOAs 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 workloadsConfigure and maintain multi-GPU serversManage GPU, VRAM, storage, and computing resourcesSupport cloud, on-premise, and hybrid environmentsDeploy and manage open-source LLMsConfigure inference servers using vLLM, SGLang, TGI, or equivalent technologiesOptimise inference performance, latency, throughput, and resource utilisationSupport model quantisation and multi-GPU inference activitiesDeploy AI workloads using Docker and KubernetesSupport autoscaling, scheduling, and workload managementConfigure networking and storage required by AI workloadsContribute to distributed and multi-node GPU environmentsMonitor GPU, memory, inference performance, and system resourcesImplement logging, monitoring, and observabilityInvestigate infrastructure bottlenecks and performance issuesContribute to improving reliability, scalability, and infrastructure costsBENEFITSThe 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 contractAccess to professional development and training opportunitiesTeam-building and extracurricular activitiesEnhanced annual welfare benefitsFlexible working hours, where compatible with project requirementsOpportunities for professional growthSalary range: € 30.000 – € 37.000, depending on relevant experience and qualifications.#J-18808-Ljbffr

📌 Ai Llm & Infrastructure Engineer (Avezzano)
🏢 ESYEN
📍 Avezzano