superior Work Opportunities ∙ Page 5

Description

• Deploy and secure an on-premises AI infrastructure for hosting large language models (LLMs)
• Install, configure, and maintain AI model-serving frameworks on internal GPU-enabled servers
• Develop and maintain robust, scalable APIs to ensure internal access to AI capabilities and seamless integration with enterprise applications and data systems
• Collaborate on the implementation of a Retrieval-Augmented Generation (RAG) pipeline and AI agents to automate business workflows

Requirements

• Bachelor’s degree or higher in computer science, electrical/computer engineering or related field
• Minimum 4 years of experience in systems engineering, DevOps, or MLOps Role
• Proficiency in Linux Server Administration
• Strong working knowledge of GPU-accelerated compute environments
• Proficiency in Python for scripting, automation, and building AI/ML data pipelines
• Experience deploying LLMs or generative AI models in production environments
• Working knowledge of RAG architectures, including vector databases, embedding models, and retrieval strategies.

Benefits

• Health Care Plan (Medical, Dental & Vision)

• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Training & Development
• Retirement Plan (401k, IRA)