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Riot Games

Staff Software Engineer, Enterprise AI

Riot Games · Los Angeles, USA

Posted 12 days ago

or apply directly on Riot Games's site. We never take the application ourselves.

Is this posting real?

This role has been open
12 days
Riot Games's roles stay open a median of 45 days
Reposted
No
Salary listed
No
3% of Riot Games's roles list one
Ghost-job risk at Riot Games
high
66 stale, 3 reposted of 107 open
Hiring momentum
225 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Riot Games's own greenhouse board since 2026-08-03. Full hiring picture for Riot Games.

About this role

As a Staff Full-Stack Software Engineer specializing in AI at Riot Games, you will design and build AI agent capabilities for an internal enterprise intelligence platform. Your role involves creating search, chat, and workflow experiences to enhance decision-making for various departments. You will collaborate with product owners and a data engineering team to shape requirements and deliver a hands-on coding experience throughout the development process.

Our read on this posting3.4out of 5
benefits
3/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Riot Games as an employer.

What you need

  • Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or related field (or equivalent professional experience delivering enterprise technology solutions)
  • 8+ years of professional experience in full-stack software development
  • Practical, 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) for features you build
  • Working understanding of AI security and responsible-use risks, prompt injection, tool abuse, data leakage, access control, model limitations

Nice to have

  • Deep practical knowledge of retrieval-augmented generation and semantic search, including embedding and reranking models, retrieval design, grounding, citations, and evaluation
  • Experience with agent platforms (e.g., LangGraph, AutoGen, CrewAI, or comparable), vector databases, and multi-agent orchestration patterns
  • Working familiarity with Python and lakehouse/data-catalog concepts (e.g., Databricks, Unity Catalog)
  • Experience shipping an internal AI product from scratch as part of a small, fast-moving team, comfortable with a 'scrappy MVP, iterate' delivery style

What you get

  • Open paid time off policy
  • Flexible work schedules
  • Medical, dental, and life insurance
  • Parental leave for you, your spouse/domestic partner, and children
  • 401k with company match

Worth weighing

  • The role involves significant collaboration with various departments, which may require navigating different workflows and priorities.
  • No salary listed in the posting, which may be a consideration for candidates.
  • The position requires a hands-on coding approach, which may not suit those preferring more managerial or strategic roles.

Summarised from Riot Games's posting. Read the full original.

Listed by Riot Games on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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