Senior AI Platform Engineer

Department: General

$13

Responsibilities

• Design, build, and operate Playamp's internal AI platform - model gateway, agent orchestration, RAG pipelines, vector stores, and the MCP servers that connect LLMs to our internal systems.
• Productionize AI infrastructure on GCP (Vertex AI, GKE, managed and self-hosted inference) using Terraform and GitOps.
• Bring AI to our DevOps and automationworkflows.
• Own the agent lifecycle in production: registry, versioning, observability (tracing, evals, cost tracking), and regression gates.
• Carry standard senior DevOps responsibilities alongside the team: production ownership, on-call, networking, security hardening, and incident response on AI platform's core infrastructure.
• Develop guardrails that help the security teams track and monitor AI usage across the company.

What we expect

$14

Desired

• Cost engineering for AI Practical experience managing AI spend in production - prompt and semantic caching, model selection trade-offs, batch vs real-time routing, per-team budgets and showback.

What we offer

• Officially registered full-time employment
• Paid annual leave according to local regulations
• Medical support and paid leave
• Individual development plan and regular feedback
• Professional seminars, workshops, courses, and internal training programs
• Reimbursement of gym membership fees

*Note: Benefits may vary by country.