Senior AI Platform Engineer: Scalable LLM Infra on GCP

Plarium; Spain (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Playamp, part of MTG, seeks a Senior AI Platform Engineer to own the internal AI platform infrastructure and enable teams to build scalable AI-powered solutions. You will work with DevOps, Security, Engineering, and Product to support production infrastructure and internal AI platforms.

Responsibilities include designing and operating the internal AI platform, productionizing infra on GCP with Terraform and GitOps, and owning agent lifecycles while implementing guardrails and security hardening

Qualifications

• 5–7 years in infra/DevOps or platform engineering, with 2+ years in AI infra.
• Experience with MCP and RAG in real systems, not POCs.
• Proven design and delivery of production-grade agentized systems with guardrails.
• Strong GCP, Kubernetes, networking, IaC (Terraform), CI/CD, GitOps.
• Hands-on Python and LLM serving stacks; one agent framework (LangChain or similar).

Responsibilities

• Design, build, and operate Playamp's internal AI platform components.
• Productionize AI infra on GCP using Terraform and GitOps.
• Integrate AI into DevOps and automation workflows.
• Own agent lifecycle: registry, versioning, observability, regression gates.
• Handle production ownership, on-call, networking, security hardening, incident response for AI infra.
• Develop guardrails to monitor AI usage across the company.

Skills

DevOps

GCP

Kubernetes

Terraform / IaC

Python

RAG pipelines

MCP protocol

Agent frameworks

Tools

LangChain

Google ADK

LLM serving stack

Job description

Playamp, part of MTG, seeks a Senior AI Platform Engineer to own the internal AI platform infrastructure and enable teams to build scalable AI-powered solutions. You will work with DevOps, Security, Engineering, and Product to support production infrastructure and internal AI platforms.

Responsibilities include designing and operating the internal AI platform, productionizing infra on GCP with Terraform and GitOps, and owning agent lifecycles while implementing guardrails and security hardening