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AI Engineer (Infrastructure team)

External
xsolla logoXsolla · Serbia
Full-timeRemote3mo ago
LLMs
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About the role

Xsolla is a global commerce company with robust tools and services designed to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. For more information, visit xsolla.com.

Requirements

  • 5-7 years of experience in infrastructure engineering, DevOps, SRE, or a related field
  • Hands-on experience with GCP (priority) and/or AWS; solid understanding of cloud resource management, scaling, and cost structures
  • Practical experience building or integrating AI/ML-powered tools in an operational context (anomaly detection, predictive models, LLM-based automation, or similar)
  • Experience with infrastructure-as-code tools - Terraform, Puppet, Ansible, or equivalent
  • Proficiency in Python for scripting, automation, and AI/ML integration; Bash or Go a plus
  • Working knowledge of Kubernetes and container orchestration in production environments
  • Familiarity with observability and monitoring stacks (Prometheus, Grafana, ELK, Datadog, or similar)
  • Familiarity with LLM APIs (OpenAI, Anthropic, or similar) and prompt engineering for operational use cases
  • Strong problem-solving mindset with a bias toward automation and eliminating toil
  • Fluent in English (written and verbal)
  • Nice To Have:
  • Experience with AI workflow orchestration frameworks (LangChain, LlamaIndex, n8n, or similar)
  • Exposure to AIOps platforms (Dynatrace, Datadog AI, Moogsoft, BigPanda, or similar)
  • Background in FinOps or AI-driven cloud cost optimization
  • Familiarity with vector databases (Weaviate, Pinecone, Qdrant) for knowledge retrieval systems

Benefits

By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.For any inquiries related to data privacy, please contact: careers@xsolla.comExplore more opportunities at: https://xsolla.com/careers

Additional Information

ABOUT YOU We are seeking a hands-on and forward-thinking AI Engineer to help build and operate the intelligent systems that power Xsolla's infrastructure. As part of our Infrastructure Team, you will implement AI-driven solutions across cloud optimization, security, automation, and developer support - helping us shift from manual and reactive operations to predictive, self-optimizing infrastructure management. The ideal candidate brings solid infrastructure engineering experience combined with practical knowledge of AI/ML integration. You are comfortable working with LLMs, ML pipelines, and AI automation frameworks, and you know how to apply them to real operational problems at scale. You thrive in environments that require both technical depth and the ability to experiment, iterate, and deliver. If you're passionate about using AI to transform how infrastructure is built and operated - and want to be part of a team that is driving that transformation at a global gaming company - we'd love to hear from you.


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