Full Stack AI Engineer / Applied AI Engineer

Xsolla (USA), Inc. is a Los Angeles-headquartered global video-game commerce company and merchant of record providing payments, direct-to-consumer commerce, publishing, distribution, player engagement, and related tools for game developers and publishers.

Maintainer signals as of 8/29/2026

Sherman Oaks, United States
About Xsolla (USA), Inc.

Xsolla provides game-industry commercial infrastructure including global payment processing, merchant-of-record services, web shops, storefronts, SDKs, catalog and identity tools, subscriptions, LiveOps, fraud prevention, creator and partner programs, funding, distribution, cloud-gaming trials, gift cards, loyalty, and player-engagement services. Its official materials state that its solutions cover 200+ geographies, 1,000+ payment methods, 130+ currencies, and 20+ languages.

View jobs by Xsolla (USA), Inc.

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