AI Platform Engineer – Remote

About the role

You will design, build, and operate an Internal Developer Platform dedicated to generative AI. The platform will provide golden paths and reusable blueprints that enable teams to create, deploy, and manage AI‑powered services securely and efficiently.

Key responsibilities

• Design and implement a self‑service platform that abstracts AI infrastructure complexity.
• Create golden paths and reusable blueprints for AI service development.
• Standardize access, configuration, and monitoring of large language models (LLMs) across the organization.
• Develop a low‑code Gemini/Claude front‑end that lets non‑technical users provision infrastructure and deploy applications.
• Manage platform infrastructure as code with a product‑first mindset.

Required profile

• 8+ years of experience in software or platform engineering.
• Strong expertise in AWS and infrastructure‑as‑code using Terraform.
• Deep knowledge of platform engineering principles, golden paths, and blueprints.
• Hands‑on experience with Kubernetes and templated CI/CD pipelines.
• Familiarity with service catalogs such as Backstage.
• Proficiency in Python and experience with LLM services like AWS Bedrock.
• Advanced proficiency in English.

Required skills

• AWS
• Terraform
• Kubernetes
• CI/CD pipelines
• Backstage
• Python
• AWS Bedrock (LLM platform)
• GitOps (familiarity)

What we offer

• 100% remote work from anywhere.
• Competitive compensation in USD or local currency.
• Hardware and software setup for home office.
• Flexible schedule and self‑managed hours.
• Paid parental leave, vacation, and national holidays.
• Innovative, multicultural environment with opportunities to learn and grow.