LLM Solutions Architect
Xsolla is a global video game commerce company providing tools and services to launch, monetize, and scale games. Its offerings include payments, web shops, publishing, distribution, LiveOps, anti-fraud, subscriptions, SDKs, and creator solutions for developers, publishers, payment providers, creators, and other gaming businesses.
Maintainer signals as of 8/23/2026
Projects
About Xsolla (USA), Inc.
Xsolla operates as a global merchant of record and video game commerce platform serving developers, publishers, resellers, payment providers, creators, and retailers. It provides payment processing across more than 200 countries and regions, 1,000+ payment methods, and 130+ currencies, alongside tax management, compliance, fraud prevention, refunds, dispute management, and end-user support. Its product portfolio includes Web Shop, Publishing Suite, Payments, Xsolla Pay, Mobile Buy Button, SDKs, Subscriptions, game distribution, Partner Network, Offerwall, LiveOps, Anti-Fraud, Login, Site Builder, cloud gaming, and related gaming commerce tools.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Join Xsolla's Monetization Products team as a builder who shapes AI strategy and ships production-grade systems. You will design agentic architectures, develop shared LLM platform capabilities, prototype product hypotheses, govern LLM providers, and mentor engineers on production deployment practices.
Requirements
- 5+ years of engineering experience, including at least 2 years designing and deploying LLM-powered systems in production.
- Production-scale experience designing agentic systems with tool use, function calling, reasoning, orchestration, and error recovery.
- Experience designing maintainable AI systems with observability, handoff documentation, and runbooks.
- Hands-on experience with OpenAI, Anthropic, Google Gemini, and at least one open-source model stack.
- Experience building RAG pipelines with vector databases and orchestration frameworks such as LangChain or LlamaIndex.
- Strong Python engineering skills for production-grade LLM services.
- Ability to influence product direction and communicate architectural trade-offs to engineers and executives.
- Gaming, payments, or e-commerce background is a plus.
- Fine-tuning, multi-agent orchestration, LLM evaluation, and AI compliance experience are pluses.
Responsibilities
- Design end-to-end agentic architectures including tool-use schemas, intent parsing, multi-step orchestration, and safety guardrails.
- Define multi-modal interface strategy across UI, API, SDK, and agentic natural language.
- Design a horizontal LLM platform layer with shared RAG pipelines, prompt libraries, vector search infrastructure, and evaluation frameworks.
- Prototype AI product hypotheses before full engineering investment.
- Ensure systems include observability, documentation, and engineering runbooks.
- Shape AI product strategy and prioritization with Product leadership.
- Select and govern LLM providers and deployment strategies.
- Align Engineering, Product, and Design on agent-ready product surfaces.
- Mentor engineers on LLM integration, evaluation, and production deployment.
Benefits
- 100% company-paid medical, dental, and vision plans
- Unlimited Flexible Time Off
Hiring Process
Background check including criminal history, employment verification, and education verification. Xsolla may use AI tools to support application review, resume analysis, or response assessment, with final decisions made by humans.
