Remote GCP AI Cloud Engineer – Vertex AI, RAG

INFOTRON

San Jose (CA)

On-site

USD 90,000 - 130,000

Full time

6 days ago
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Job summary

INFOTRON seeks a GCP AI / Cloud Engineer to build and deploy cloud-based solutions on GCP, using Terraform IaC and Vertex AI. The role involves developing AI/ML applications, RAG integration, and working with LLMs while ensuring security and compliance in a remote US setting.

The ideal candidate has 1–3 years of related experience, hands-on GCP skills, and holds an active U.S. Secret Clearance with certification readiness for Security+. This is a remote position in the United States.

Qualifications

  • 1–3 years of cloud engineering, DevOps, AI/ML experience.
  • Hands-on experience with Google Cloud Platform (GCP) and Vertex AI.
  • Active U.S. Secret Security Clearance and ability to obtain CompTIA Security+ within 30 days.

Responsibilities

  • Design, deploy, and maintain cloud infrastructure on Google Cloud Platform.
  • Develop and manage infrastructure using Terraform and IaC practices.
  • Work with GCP-native services to build scalable, secure cloud solutions.
  • Develop and support AI/ML and Generative AI applications using Vertex AI.
  • Build and integrate Retrieval-Augmented Generation (RAG) solutions.
  • Work with LLMs and contribute to LLM-powered applications and services.
  • Assist with cloud architecture, deployment, configuration, monitoring, and troubleshooting.
  • Follow security, compliance, and operational requirements for classified environments.

Skills

GCP
Terraform
Vertex AI
RAG
LLMs
Generative AI

Education

Google Cloud Associate Cloud Engineer
CompTIA Security+

Tools

Kubernetes
CI/CD
Python

Job description

INFOTRON seeks a GCP AI / Cloud Engineer to build and deploy cloud-based solutions on GCP, using Terraform IaC and Vertex AI. The role involves developing AI/ML applications, RAG integration, and working with LLMs while ensuring security and compliance in a remote US setting.

The ideal candidate has 1–3 years of related experience, hands-on GCP skills, and holds an active U.S. Secret Clearance with certification readiness for Security+. This is a remote position in the United States.

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