AI / DevOps Engineer – Agentic Systems & Automation

About this kind of role

What a AI / DevOps Engineer – Agentic Systems & Automation usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains infrastructure and automation tools to support artificial intelligence and machine learning models. This role focuses on integrating AI agents into existing systems and automating workflows related to AI development and deployment. Responsibilities often include managing cloud environments, containerization, and continuous integration/continuous delivery pipelines for AI applications. They also monitor system performance and troubleshoot issues to ensure reliable operation of AI-powered services.

Tools and skills: Proficiency in cloud platforms (like AWS, Azure, or Google Cloud), containerization technologies (Docker, Kubernetes), scripting languages (Python, Bash), configuration management tools (Ansible, Terraform), and CI/CD pipelines is generally expected.

Good fit for: Individuals with a strong background in both software development and systems administration, and a passion for automating complex processes, are often successful in this role.