Software Development Engineer, Agentic AI DevOps
Job Description
About this kind of role
What a Software Development Engineer, Agentic AI DevOps usually does. The employer's own details are in the listing.
Typically does: This role focuses on building, deploying, and maintaining the infrastructure and tools that support agentic artificial intelligence development. Responsibilities include automating processes, ensuring system reliability, and collaborating with software engineers to optimize the AI development lifecycle. Work often involves scripting, configuration management, and monitoring complex systems to ensure efficient and scalable AI workflows. The engineer will likely troubleshoot issues and implement solutions to improve performance and security.
Tools and skills: Proficiency in cloud platforms (e.g., AWS, Azure, GCP), containerization technologies (Docker, Kubernetes), scripting languages (Python, Bash), and DevOps principles is generally required.
Good fit for: Individuals with a strong background in software engineering and a passion for automation and infrastructure as code thrive in this role.
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Writers and Editors: 185,000 people in the US, paid from $45,590 a year (the lowest 10%) to $146,300 (the top 10%), with $79,680 in the middle, in May 2025. See these jobs →
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