AI / Devops Engineer - Agentic Systems & Automation

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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 their development and deployment. Responsibilities often include streamlining data pipelines, managing model training environments, and ensuring the reliability and scalability of AI-powered applications. Continuous monitoring and improvement of these systems are also key aspects of the job.

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 DevOps practices, coupled with an interest in the emerging field of agentic AI, often thrive in this role.