Full Stack AI Engineer / Applied AI Engineer

Xsolla is a global commerce company with robust tools and services 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. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.

 

For more information, visit xsolla.com.

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.

Be up-to-date with latest happenings in AI and Associated 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

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

Experience building and scaling AI-powered SaaS products

Contributions to open-source GenAI projects

Understanding of context engineering and agent orchestration frameworks