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Staff Software Engineer, Enterprise AI

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Staff Software Engineer, Enterprise AI in USA

  • Riot Games
  • Full time
  • Email
  • Los Angeles, CA

Responsibilities

  • Build and maintain orchestrator and specialist-agent architectures with retrieval, tool use, structured outputs, and multi-step reasoning.
  • Design retrieval and grounding for RAG and semantic search, including embeddings, reranking, evidence citations, and hallucination reduction.
  • Integrate AI agents with internal and external tools and APIs to perform actions.
  • Build APIs, user interfaces, and full-stack experiences for AI-powered search, chat, and workflows.
  • Instrument AI features for quality, safety, reliability, latency, token usage, and cost, and use results to guide iteration.
  • Iterate on prompts, model choices, fallback behavior, and evaluation approaches for nondeterministic systems.
  • Apply engineering practices including automated testing, code review, CI/CD, monitoring, security, performance work, and on-call ownership.

Requirements

  • Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, or a related field, or equivalent professional experience delivering enterprise technology solutions.
  • At least 8 years of professional full-stack software development experience.
  • End-to-end experience building RAG or agentic systems involving retrieval, tool calling, structured outputs, multi-step reasoning, and verification or evaluation loops.
  • Experience designing evaluations using curated datasets, automated metrics, human review, and production feedback.
  • Experience establishing AI observability for quality, safety, reliability, latency, token usage, and cost.
  • Working knowledge of AI security and responsible-use risks, including prompt injection, tool abuse, data leakage, access control, and model limitations.
  • Deep hands-on programming experience with Node, TypeScript, and React.
  • Experience with modern frameworks such as NextJS or NestJS.
  • Experience building RESTful and GraphQL APIs and working with relational and non-relational databases.
  • Comfort with AWS, Docker, Kubernetes, and deployment infrastructure.
  • Preferred experience with retrieval-augmented generation, semantic search, embeddings, reranking, grounding, citations, and evaluation.
  • Preferred experience with agent platforms such as LangGraph, AutoGen, or CrewAI, vector databases, and multi-agent orchestration.
  • Working familiarity with Python, Databricks, Unity Catalog, and lakehouse or data-catalog concepts.
  • Experience shipping an internal AI product from scratch in a small, fast-moving team.

Benefits

  • Open paid time off policy and flexible work schedules.
  • Medical, dental, and life insurance.
  • Parental leave for the employee, spouse or domestic partner, and children.
  • 401k with company match.

Riot Games

Since 2006, Riot Games has stayed committed to changing the way video games are developed, published, and supported for players. From our first title, League of Legends, to 2020’s VALORANT; we have strived to evolve the community with growth in Esports, and expansion from games into entertainment...

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