Senior AI Platform Engineer

Scorewarrior is an independent game studio with a single mission: to excite and unite players all over the world. For over 10 years we've been pursuing it through Total Battle — a product we continue to actively and successfully grow. We're a team of 230 self-motivated professionals who know and love their craft, and we've recently begun an active company-wide adoption of AI tools.

Our home is a great office in Limassol, Cyprus. We offer a strong relocation package for you and your family, and we put real effort into making life on the island genuinely varied and interesting.

We are building an AI Platform team, and you will join as one of its first engineers.

Our goal is to dramatically increase the leverage our engineering and product teams get from LLMs by building shared production infrastructure across the development lifecycle: secure access to models and tools, MCP infrastructure, knowledge and retrieval, agent execution, observability, evaluation and automation.

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  Build and operate core AI infrastructure: model access, provider abstraction, identity, credentials, quotas, fallback, usage and cost visibility.

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  Build managed MCP infrastructure with tool-level access control, credentials, auditability and self-service onboarding.

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  Design runtime and orchestration capabilities for production AI agents, from knowledge retrieval and log analysis to code execution and workflow automation.

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  Build observability, evaluation and security guardrails for AI workloads.

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  Work with engineering and product teams to turn high-impact AI use cases into reusable platform capabilities.

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  Own systems end-to-end: architecture, implementation, infrastructure, deployment, observability and production support.

• 5+ years of experience designing and delivering production backend, infrastructure or platform services.

• Degree in Computer Science, Computer Engineering or a related field, or equivalent practical experience.

• Strong system-level understanding: service and API design, distributed systems and data flows.

• Experience with cloud platforms such as GCP, AWS or Azure and container orchestration with Kubernetes.

• Hands-on experience with CI/CD, observability, reliability and production operations.

• Practical understanding of authentication, authorization, secrets management and secure service design.

• Ability to take ambiguous problems, make architectural trade-offs and deliver production solutions end-to-end.

• English and Russian language at least B2 level or higher.

• Production experience with LLM applications, agentic systems or RAG.

• Experience with MCP, model gateways, LLM observability or evaluation frameworks.

• Experience with vector databases, semantic search or embeddings.

• Experience building internal developer platforms or self-service infrastructure.

• Hands-on experience with Python backend frameworks (such as FastAPI) and cloud-native infrastructure tooling such as Helm or Kubernetes operators