Senior AI Platform Engineer

This role is based in Playamp, the ecosystem Plarium is part of. Playamp brings together six international mobile and PC game studios: Plarium, InnoGames, Snowprint, Hutch, Ninja Kiwi, and Futureplay. Playamp's shared teams cover marketing, data and analytics, applied AI, player services, and direct-to-consumer monetization. Together, they support over 60 games, including Plarium's.

As a Senior AI Platform Engineer in the AI Lab team, you will take ownership of Playamp's AI platform infrastructure and play a key role in enabling teams across the company to build and scale AI-powered solutions.

In this role, you will work closely with DevOps, Security, Engineering, and Product teams to support both production infrastructure and the development of Playamp's internal AI platforms.

As a Senior AI Platform Engineer in the AI Lab team, you will take ownership of Playamp's AI platform infrastructure and play a key role in enabling teams across the company to build and scale AI-powered solutions.

In this role, you will work closely with DevOps, Security, Engineering, and Product teams to support both production infrastructure and the development of Playamp's internal AI platforms.

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

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.