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 ****, 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: € ****** – € ****** /b, depending on relevant experience and qualifications.
/p #J-*****-Ljbffr
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