Hiring: Staff Software Engineer, Enterprise AI Company: Riot Games Location: Los Angeles, CA Job Posted Time: 2026-09-09 17:59:01 Employment Type: Full-time Target Skills & Keywords: Full-Stack Engineering, AI Agents, RAG, Semantic Search, Retrieval & Reranking, Tool/Function Calling, Multi-Step Reasoning, LLM Orchestration, Prompt Engineering, Evaluation & Observability, CI/CD, APIs, UI Development Experience: - 8+ years of professional experience in full-stack software development - Hands-on, coding-majority role designing and building AI agent capabilities and product experiences for an internal enterprise intelligence platform - End-to-end experience building RAG or agentic systems: retrieval, tool-calling, structured outputs, multi-step reasoning, and verification/evaluation loops - Experience designing and running evaluation approaches for nondeterministic systems: curated datasets, automated metrics, human review, and production feedback - Experience establishing basic AI observability (quality, safety, reliability, latency, token usage, cost) - Ownership of systems from first commit through production operation Required Skills: - Build and maintain orchestrator + specialist-agent architecture (retrieval, tool use, structured outputs, multi-step reasoning) on top of a semantic data layer - Design and implement retrieval and grounding for RAG/semantic search: embeddings, reranking, citation of evidence, and hallucination reduction techniques - Integrate agents with internal and external tools/APIs via function/tool calling - Build full-stack application layer, APIs, and UI for AI-powered search, chat, and workflow experiences - Instrument AI features with observability for quality, latency, token usage, and cost - Iterate on prompts and model choices with sensible fallback behavior for failures or low-confidence outputs - Solid engineering fundamentals: source control, code review, automated testing (unit, integration, functional), CI/CD, and on-call Qualifications: - Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or related field (or equivalent professional experience delivering enterprise technology solutions) - Deeply experienced full-stack software engineer who has personally shipped AI-enabled products at scale - Comfortable building in ambiguous and evolving problem spaces - Strong collaboration skills with product owners, system leads, and domain experts across HR, Finance, IT, Legal, and Workplace Compensation: Not specified Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!