14 ott - Avezzano
ESYEN
pAre you an bAI LLM Infrastructure Engineer /b looking for an opportunity to work on innovative Artificial Intelligence and Large Language Model technologies? /p pWould 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? /p pWe are looking for an bAI LLM Infrastructure Engineer /b to join our team, supporting the development and operation of the infrastructure required for AI, LLM, RAG, and agentic applications. /p pYou will work on the design, deployment, maintenance, and optimisation of AI infrastructure, collaborating closely with AI, Software Engineering, and RD teams. /p h3ABOUT US /h3 pESYEN 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. /p pOur 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. /p h3WHAT WE LOOK FOR /h3 pA degree in bComputer Science, Computer Engineering, Electronic Engineering, Telecommunications, or a related field /b is considered an advantage. /p pProfessional experience in bAI infrastructure, system administration, cloud infrastructure, or software engineering /b is preferred. /p h3Technical Skills /h3 ul liExperience with bLinux,
Docker and Kubernetes /b /li liHands-on experience with bNVIDIA GPU infrastructure /b /li liKnowledge of bTCP/IP and Linux networking /b /li liExperience with local, distributed, and object storage /li liKnowledge of bPython and Bash scripting /b /li liExperience with bGit and CI/CD /b /li liExperience with REST APIs and service deployment /li liKnowledge of monitoring and observability /li liGood understanding of bLLM inference architectures /b /li /ul pExperience with bvLLM, SGLang, Hugging Face TGI /b, or equivalent technologies is considered a strong advantage. /p ul liStrong engineering and problem-solving approach /li liProactive and structured attitude /li liAbility to work across software and infrastructure activities /li liStrong attention to detail /li liGood communication and teamwork skills /li liAbility to work effectively in an RD environment /li /ul h3WHAT YOU WILL DO /h3 pAs an bAI LLM Infrastructure Engineer /b, you will contribute to the design and operation of the infrastructure supporting AI and LLM applications. /p ul liDesign and manage bGPU infrastructure /b for AI/LLM workloads /li liConfigure and maintain multi-GPU servers /li liManage GPU, VRAM, storage, and computing resources /li liSupport cloud,
on-premise, and hybrid environments /li liDeploy and manage open-source LLMs /li liConfigure inference servers using bvLLM, SGLang, TGI /b, or equivalent technologies /li liOptimise inference performance, latency, throughput, and resource utilisation /li liSupport model quantisation and multi-GPU inference activities /li liDeploy AI workloads using bDocker and Kubernetes /b /li liSupport autoscaling, scheduling, and workload management /li liConfigure networking and storage required by AI workloads /li liContribute to distributed and multi-node GPU environments /li liMonitor GPU, memory, inference performance, and system resources /li liImplement logging, monitoring, and observability /li liInvestigate infrastructure bottlenecks and performance issues /li liContribute to improving reliability, scalability, and infrastructure costs /li /ul h3BENEFITS /h3 pThe successful candidate will be offered a bfull-time contract /b, with a competitive salary package reflecting skills and experience and aligned with the company’s salary scale. /p pAdditional benefits include: /p ul liHealth coverage as outlined by the applicable national contract /li liAccess to professional development and training opportunities /li liTeam-building and extracurricular activities /li liEnhanced annual welfare benefits /li liFlexible working hours, where compatible with project requirements /li liOpportunities for professional growth /li /ul pbSalary range: € 30.000 – € 37.000 /b, depending on relevant experience and qualifications. /p #J-18808-Ljbffr
14 ott - Milano
Idro 2000
14 ott - Ciriè
Filippo
14 ott - Udine
Gruppo Danieli
14 ott - Nova milanese
New Age