LLM Solutions Architect
Core
Design and deploy production-grade LLM-powered agentic systems for game developers to monetize their products.
Role type
Senior IC LLM Solutions Architect
Builds
End-to-end agentic architectures, multi-modal interfaces, and horizontal LLM platform layers (RAG, vector search)
Domain
Video game industry / AI / Monetization
Deliverable
production ML models
Required skills
LLM system architecture, agentic workflows (tool-use, orchestration), RAG pipeline design, Python engineering, LLM API integration, product strategy influence
Preferred skills
Gaming/ecommerce domain knowledge, model fine-tuning (PEFT/LoRA), multi-agent frameworks, LLM evaluation frameworks
Technologies
OpenAI, Anthropic, Google Gemini, LangChain, LlamaIndex, vector databases
Responsibilities
Design end-to-end agentic architectures with safety guardrails; Define multi-modal interface strategies; Design horizontal LLM platform layers; Prototype AI product hypotheses; Ensure observability and documentation for team ownership; Shape product strategy with leadership; Select and govern LLM providers; Drive alignment on 'agent-ready' standards; Mentor engineers on LLM integration
Seniority
Senior, hands-on IC
