Platform Engineer, AI Tools — Remote & Production-Ready

Placer.ai; Austin (TX); Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Fully remote

Competitive salary

Excellent benefits

Job summary

Placer.ai is hiring a Platform Engineer to own the infrastructure behind Placer’s internal AI tools, used daily by teams across the company. You’ll take AI tools from prototype to production and shape how AI scales across the business.

This role sits on the COO’s team, with real ownership and a short path from idea to impact. We’re looking for a senior engineer who can design scalable, secure workflows, integrate tools across the stack, and partner with product, data, and IT to deliver reliable

Qualifications

• 7+ years in production, platform, SRE, or DevOps engineering.
• Experience with Kubernetes and public cloud (GCP or AWS).
• Hands-on with infrastructure as code (Terraform, Pulumi, or similar).

Responsibilities

• Own the infrastructure behind Placer.ai’s internal AI tools, from architecture to production.
• Take AI tools from prototype to production: secure, reliable, and easy to use.
• Build and maintain integrations between AI tools and company systems (e.g., Salesforce, Google Workspace, Slack, data warehouse).
• Run CI/CD, environments, and infrastructure as code for internal AI applications.
• Set up access controls, data permissions, and audit logging so teams can move fast safely.
• Monitor uptime, adoption, and cost, and use the data to decide what to scale, fix, or retire.
• Work directly with teams across the company to turn their needs into working tools.
• Evaluate new AI tools and models, and recommend what’s worth adopting.

Skills

Kubernetes

Cloud (GCP/AWS)

Terraform

Pulumi

Python

Go

LLM integration

IAM / SSO / OAuth

CI/CD

Tools

GCP

AWS

Kubernetes

Job description

Placer.ai is hiring a Platform Engineer to own the infrastructure behind Placer’s internal AI tools, used daily by teams across the company. You’ll take AI tools from prototype to production and shape how AI scales across the business.

This role sits on the COO’s team, with real ownership and a short path from idea to impact. We’re looking for a senior engineer who can design scalable, secure workflows, integrate tools across the stack, and partner with product, data, and IT to deliver reliable