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AI Cloud Engineer

Lockedin Ai

Full-time · Senior

About the role

We are looking for a highly skilled AI Cloud Engineer to design, build, and optimize cloud infrastructure that powers real-time AI systems. You will work at the intersection of cloud engineering and AI, supporting machine learning workloads, inference systems, and scalable AI-driven products. This role is critical in ensuring high-performance, low-latency AI systems that serve millions of users globally. How to Apply Submit your resume along with a brief note covering: Your interest in this role Relevant experience with AI and cloud systems Any portfolio or project work (if available) Visit: https://www.lockedinai.com/careers/ai-cloud-engineer

Responsibilities

  • Design and manage cloud infrastructure for AI and machine learning workloads
  • Build scalable GPU-based environments for training and inference
  • Optimize system performance, latency, and cloud costs
  • Deploy and manage AI model serving systems
  • Implement infrastructure using Infrastructure as Code tools such as Terraform
  • Monitor system performance and ensure high availability

Requirements

  • 3+ years of experience in Cloud Engineering, DevOps, or Infrastructure roles
  • Hands-on experience with AI/ML workloads and GPU environments
  • Strong experience with cloud platforms such as AWS, GCP, or Azure
  • Experience with Kubernetes and containerized environments
  • Familiarity with model serving tools such as Triton, vLLM, or similar is a plus

Job Type

Full-time

Level

Senior

Language

English

Salary Range

$160k – $200k / year

AI Expertise

AI & Machine Learning Engineers Automation & AI Workflows AI Product & Strategy

Skills

aws gcp azure docker kubernetes python

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