**Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.** # 1\. Overview Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up.
About the role
Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.
# 1\. Overview
Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Cloud and DevOps Engineers with deep, hands-on expertise in Kubernetes operations, AWS service integration, and Infrastructure-as-Code to bring hands-on technical excellence and elevate the quality of our AI training and inference infrastructure data. This is a full-time commitment of 40 hours per week.
This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce.
# 2\. Key Responsibilities
- Guide research and engineering teams to close knowledge gaps and improve AI model performance in cloud infrastructure, Kubernetes operations, and Infrastructure-as-Code topics.
- Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to cluster diagnosis, AWS service integration, and infrastructure automation problems.
- Evaluate infrastructure engineering tasks and solutions and provide clear, written technical feedback.
- Develop guidelines and detailed rubrics/evaluation frameworks to assess cluster failure diagnosis, IaC design quality, and CI/CD pipeline reasoning across tasks.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
# 3\. Core Qualifications
- 4+ years of dedicated professional experience in cloud infrastructure, DevOps, site reliability, or platform engineering at a recognized, top-tier organization.
- Hands-on production experience operating Kubernetes, including diagnosing and repairing cluster failures — not solely authoring manifests or using a managed control plane.
- Production experience with Infrastructure-as-Code, specifically Terraform and/or AWS CDK. …
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