AI Infrastructure Engineer

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Requirements:

• Exceptional ability in cloud infrastructure—AWS is your foundation, but you’re adaptable.
• Understand AI infrastructure—you’ve worked with AI/ML services, or you’re eager to learn and can ramp up fast.
• Strong operational mindset—security, observability, and cost efficiency are always in your considerations.
• Fluent in Linux environments and have experience supporting containerized applications.

Responsibilities:

• Architect and manage Autohive’s AWS-based infrastructure, ensuring high availability and performance.
• Deploy and optimize AI workloads using AWS SageMaker, Bedrock, and other AI/ML services.
• Integrate external AI services (e.g., Azure OpenAI, third-party LLMs) while maintaining a cloud-agnostic mindset.
• Automate everything—from infrastructure as code (Terraform/CDK) to self-healing systems.
• Own deployment pipelines and ensure smooth, zero-downtime releases for AI-driven applications.
• Optimize Linux-based environments, supporting high-performance AI workloads.