Full Stack AI Engineer / Applied AI Engineer

Xsolla (USA), Inc., operating under the Xsolla brand, is a global video game commerce and payments company serving game developers, publishers, creators, and payment providers.

11 current maintainers6 active leadsTeam intelligence

Maintainer signals as of 9/25/2026

Sherman Oaks, California, USA
About Xsolla (USA), Inc.

Xsolla provides merchant-of-record and payment-processing services plus direct-to-consumer commerce, web shops, publishing and distribution tools, cloud gaming, fraud prevention, player engagement, creator monetization, and developer tooling for the video game industry. Its solutions operate across 200+ geographies with 1,000+ payment methods and are actively supported through live products, documentation, customer support, and ongoing hiring.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

Design and develop full-stack applications that power GenAI platforms, including frontend applications, APIs, infrastructure, agent workflows, vector databases, data pipelines, and AI model integrations.

Requirements

  • 1–3 years of experience in full-stack development
  • Proficiency in Python and TypeScript
  • Experience with REST APIs, microservices, and scalable cloud infrastructure
  • Experience building or supporting GenAI applications or LLM-powered products
  • Comfort building agentic systems
  • Exposure to AWS, GCP, or Azure and Docker or Kubernetes
  • Strong problem-solving, communication, and collaboration skills

Responsibilities

  • Design and develop full-stack applications that power GenAI applications and platforms
  • Develop and maintain frontend applications using Next.js with API routes
  • Design responsive user interfaces using Tailwind CSS, Shadcn, or other CSS libraries
  • Write clean, efficient, and scalable code in Python and TypeScript
  • Build APIs and infrastructure for LLM-based features, tools, and agent workflows
  • Collaborate with frontend, ML, and product teams
  • Optimize backend systems for performance, scalability, and reliability
  • Work with vector databases, data pipelines, and AI model endpoints
  • Maintain clean, secure, and production-grade code

Benefits

  • Medical, dental, and vision coverage
  • PTO
  • Personalized career roadmap
  • Training and educational opportunities