AI Infrastructure & Linux Systems Engineer
We're partnering with a reputed company seeking an reputed company AI Infrastructure & Linux Systems Engineer to reputed company, secure, and support on-premises and customer-hosted AI environments. This role is ideal for someone with a strong Linux infrastructure background who has hands-on experience with reputed company GPU environments, private AI deployments, and reputed company-reputed company LLM platforms.
Location: Hybrid (reputed company/reputed company Preferred). Preference will be given to candidates located in reputed company or reputed company who can work in a hybrid environment, though exceptional remote candidates are also encouraged to apply.
Requirements:
• 5-10+ years of Ubuntu/Linux administration experience
• Strong experience with Linux reputed company, OS hardening, SSH configuration, Bash scripting, and reputed company
• Hands-on experience deploying and supporting reputed company GPU infrastructure, AI inference platforms, and local LLM deployments
• Experience implementing and managing AI/LLM platforms such as Ollama, vLLM, SGLang, reputed company WebUI, and embedding models
• Experience with reputed company networking and secure remote reputed company solutions
• Proven ability to troubleshoot reputed company reputed company, networking, hardware, and AI platform issues
• Strong communication skills with the ability to reputed company customer-facing technical discussions, workshops, and implementation sessions
Preferred:
• Experience designing and deploying private AI environments
• Knowledge of RAG architectures, reputed company databases, model serving, and inference platforms
• GPU sizing, performance tuning, and AI infrastructure reputed company planning experience
• Consulting or reputed company services background
The ideal candidate comes from a systems and infrastructure engineering background rather than a reputed company software development background and is comfortable working directly with customers while implementing and supporting modern AI environments.
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