Plarium is a global gaming company creating some of the world’s most successful midcore games, known for their depth, quality, and long-lasting player engagement. Our games bring together rich worlds, complex systems, advanced technology, data-driven product thinking, and ongoing live operations - creating experiences that engage millions of players around the world. Joining Plarium means becoming part of a company where creativity meets scale, where products keep evolving, and where your work can directly shape the experience of players every day.

As a Senior AI Platform Engineer in the DevOps team, you will take ownership of Plarium'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 Plarium's internal AI platform.

What you'll own

• Design, build, and operate Plarium'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 workflows.
• 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're looking for

• 5-7 years of infrastructure, DevOps, or platform engineering in production, including 2+ years dedicated to AI infrastructure (real systems, not POCs).
• Practical experience with the Model Context Protocol (MCP) and RAG - building or integrating MCP servers and exposing internal systems to LLMs.
• Experience designing and shipping agentic systems in production: multi-step, tool-using agents with guardrails, retries, and evaluation.
• Deep cloud experience, preferably GCP, with solid Kubernetes, networking, Infrastructure as Code (Terraform), CI/CD, and GitOps fundamentals.
• AI evaluation infrastructure: Built or owned eval harnesses for LLMs/agents - golden datasets, offline + online evals, regression gates in CI, A/B testing of prompts and agents in production.
• Strong Python. Hands-on with the modern LLM serving stack and at least one industry-standard agent framework (e.g., Google ADK, LangChain, or similar).

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

A Workplace Designed for Your Well-Being - Comfortable Environment: Ergonomic chairs and desks to support your health. Beautifully designed spaces that inspire creativity. - On-Site Amenities: Gym, yoga room, and music room for relaxation and rejuvenation. - Delicious Perks: 5-star breakfast to kickstart your day. Freshly made coffee, shakes, and afternoon salads by our in-house barista. - Health & Wellness: Full health insurance coverage for your peace of mind. - Growth Opportunities: Learning and training programs to enhance your personal and professional skills. - Vibrant Culture: Happy hours, team events, and plenty of opportunities to connect with colleagues. Join us and experience a workplace where your well-being, growth, and enjoyment come first!