AI Infrastructure Engineer

About the Role

We are looking for a highly technical AI Engineer / MLOps Specialist to lead a core infrastructure migration. We are currently transitioning from managed AI services to a fully self-hosted, open-source AI architecture on AWS to optimize operating expenses and increase data privacy and control.

You will be responsible for the end-to-end pipeline: building automated data ingestion systems, managing a vector database, provisioning AWS GPU servers, and ensuring an open-source Large Language Model (LLM) runs securely 24/7.

Note: If your AI experience is limited to calling managed APIs (like OpenAI or Anthropic), this role is not for you. We need someone who knows how to allocate GPU VRAM, optimize inference speeds, and manage bare-metal Linux servers.

What You Will Build (Core Responsibilities)

• Infrastructure Migration: Transition existing generative AI workflows off managed cloud APIs and onto self-hosted open-s...