AI Systems Engineer

Job 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

• Bachelor's degree or higher in computer science, electrical/computer engineering or related field
• Minimum 4 years of experience in systems engineering, Dev Ops, 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.

We offer attractive, competitive compensation and benefits including medical, dental, 401k, short-term disability, AD&D, tuition reimbursement, and more. If you take pride in your work and are committed to personal and professional success, let's talk. Please visit  to learn more.

Zobility is RGBSI's workforce management and staffing division. RGBSI is a multi-national corporation headquartered in Troy, MI with branches throughout the USA, Canada, Germany, and India.