Full Stack AI Engineer / Applied AI Engineer
Xsolla is a video game commerce company that provides a suite of tools and services—including merchant of record payment processing, tax management, fraud prevention, compliance, refunds, dispute management, and end-user support—to help game developers and publishers launch, grow, and monetize their games globally. It serves video game developers, publishers, and studios of all sizes across global and regional markets.
About Xsolla
Xsolla connects the tools, systems, payments, and web shops used by the video games industry, positioning itself as a global merchant of record supporting over 1,000 payment methods and a cumulative audience of 50 million, with transaction fees around 5%. Its services include tax management, fraud monitoring and prevention, global and regional regulatory compliance, refund and dispute management, and end-user payment support. Xsolla's product lineup includes the Xsolla SDK for native in-app payments on side-loaded apps and alternative app stores, a Buy Button enabling link-out purchases from iOS mobile games in the U.S., and Web Shop for building customized, direct-to-consumer game storefronts. The company works with major gaming industry partners and clients such as Mytona, Ubisoft, MARVEL SNAP, and others, and highlights partner success stories, industry events, and its own culture and hiring initiatives on its site.
Skills
About the Role
You will design and develop full-stack applications that power GenAI applications and platforms. You'll build and maintain frontend applications using Next.js with API routes, and design visually appealing, responsive user interfaces using Tailwind CSS, Shadcn, or other CSS libraries. You'll write clean, efficient, and scalable code in Python and TypeScript, working with various libraries and frameworks depending on project needs. You'll stay current with the latest AI tools, technologies, and frameworks such as MCP and agentic systems, and build APIs and infrastructure that support LLM-based features, tools, and agent workflows. You'll collaborate closely with frontend, ML, and product teams to create seamless AI experiences, optimize backend systems for performance, scalability, and reliability, and work with vector databases, data pipelines, and AI model endpoints from providers like OpenAI, Anthropic, and Hugging Face. You'll maintain clean, secure, and production-grade code throughout.
Requirements
- 1–3 years of experience in full-stack development
- Proficient in Python and Typescript
- Strong experience with REST APIs, microservices, and scalable cloud infrastructure
- Experience building or supporting GenAI applications and/or LLM-powered products
- Comfortable working with and building Agentic systems (e.g. building custom Lovable or Claude Code for custom applications)
- Exposure to cloud services (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
- Excellent 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 and implement visually appealing and responsive user interfaces using Tailwind CSS, Shadcn, or other CSS libraries
- Write clean, efficient, and scalable code in Python and TypeScript
- Work with various libraries or frameworks based on project requirements
- Stay up-to-date with latest AI tools, technologies and frameworks (e.g. MCP, Agentic systems)
- Build APIs and infrastructure to support LLM-based features, tools, and agent workflows
- Collaborate with frontend, ML, and product teams to create seamless AI experiences
- Optimize backend systems for performance, scalability, and reliability
- Work with vector databases, data pipelines, and AI model endpoints (OpenAI, Anthropic, Hugging Face, etc.)
- Maintain clean, secure, and production-grade code
Benefits
- Medical, dental, and vision coverage
- PTO
- Personalized career roadmap
- Training and educational opportunities