Production AI Infrastructure Engineer — Hybrid, Azure Expert

Motion Recruitment; Miami (FL); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid Work Environment

Ownership of production AI infra

Collaborative engineering teams

Job summary

Motion Recruitment seeks an AI Infrastructure Engineer to design and operate the platform turning AI models into reliable, secure internal services. You will deploy GPU workloads, build secure internal APIs, and integrate with retrieval systems, databases, and authentication.

This hybrid Miami-based role emphasizes CI/CD pipelines, observability, and production-grade infrastructure with strong security and reliability requirements.

Qualifications

• 5+ years of experience in infrastructure, platform engineering, DevOps, SRE, or ML platform engineering.
• Strong experience with Microsoft Azure.
• Strong experience with Kubernetes, preferably Azure Kubernetes Service (AKS).
• Hands-on experience with Docker and containerized services.
• Strong C# / .NET experience, particularly for internal service integration.
• Good Python skills for automation, AI infrastructure, and scripting.
• Experience building production APIs and internal developer platforms.
• Experience with CI/CD pipelines, infrastructure as code, and observability.
• Strong Linux skills.
• Experience operating systems with high security and reliability requirements.
• Ability to debug complex issues across applications, infrastructure, networking, and storage.

Responsibilities

• Design and operate infrastructure for large-scale and specialized AI models.
• Build secure internal APIs supporting AI-powered applications.
• Deploy and manage GPU-based workloads across development and production environments.
• Integrate model-serving infrastructure with retrieval systems, databases, internal services, and authentication.
• Build and maintain CI/CD pipelines for AI model and application deployments.
• Implement observability across latency, throughput, errors, GPU utilization, and overall service health.
• Support batch, interactive, and evaluation inference workloads.
• Partner with AI engineers on model fine-tuning, evaluation, and production deployment.
• Implement secure access controls, audit logging, and environment separation.
• Optimize infrastructure for reliability, cost, and performance.
• Define standards for model packaging, versioning, rollout, and rollback.
• Troubleshoot complex issues across applications, infrastructure, networking, and storage.

Skills

Azure

Kubernetes

AKS

Docker

C# / .NET

Python

APIs

CI/CD

Infrastructure as Code

Observability

Linux

Security & Reliability

Debugging

Tools

AKS

Terraform

Job description

Motion Recruitment seeks an AI Infrastructure Engineer to design and operate the platform turning AI models into reliable, secure internal services. You will deploy GPU workloads, build secure internal APIs, and integrate with retrieval systems, databases, and authentication.

This hybrid Miami-based role emphasizes CI/CD pipelines, observability, and production-grade infrastructure with strong security and reliability requirements.