Senior AI Full-Stack Engineer, Enterprise Systems

Worky; Los Angeles (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Life insurance

Parental leave

401(k) with company match

Flexible work schedules

Job summary

Riot Games’ Enterprise Technology team seeks a Staff Full-Stack Software Engineer specializing in AI to design and build the AI agent capabilities and product experiences for an internal enterprise intelligence platform. You will own the retrieval, orchestration, and reasoning layer on a semantic data layer, shipping agents, prompts, tool integrations, and the full-stack surface.

This role remains hands-on, building the agents and integrations end-to-end.

Qualifications

• 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, not just familiarity with LLM APIs.
• 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, sufficient to build safeguards into what you ship.
• Deep hands-on programming experience in Node, TypeScript, React.
• Experience with modern frameworks (e.g., NextJS, NestJS).
• Experience building RESTful and GraphQL APIs, working with relational (e.g., PostgreSQL, MySQL) and non-relational (e.g., Redis) databases.
• Comfortable with cloud infrastructure and deployment: AWS, containers (Docker), orchestration (Kubernetes), CI/CD pipelines.
• Familiar with software engineering best practices: automated testing, code review, monitoring/observability, security and performance considerations.

Responsibilities

• Build and maintain an orchestrator + specialist-agent architecture (retrieval, tool use, structured outputs, multi-step reasoning) on top of a semantic data layer owned by a partner data team.
• Design and implement retrieval and grounding for RAG/semantic search use cases: embeddings, reranking, citation of evidence, and techniques to reduce hallucination.
• Integrate agents with internal and external tools/APIs (function/tool calling) to let them take real actions, not just answer questions.
• Build the full-stack application layer, APIs, and UI that exposes AI-powered search, chat, and workflow experiences to end users.
• Instrument AI features with observability for quality, latency, token usage, and cost, and use it to drive iteration and tuning.
• Iterate on prompts and model choices quickly, with sensible fallback behavior when a model, tool, or retrieval step fails or returns low-confidence output.
• Apply solid engineering fundamentals: source control, code review, automated testing (unit, integration, functional), CI/CD, and on-call for the systems you own.

Skills

Node.js

TypeScript

React

Next.js

NestJS

RESTful APIs

GraphQL APIs

PostgreSQL

MySQL

Redis

AWS

Docker

Kubernetes

CI/CD

Automated testing

Observability

Education

Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or related field

Tools

LangGraph

AutoGen

CrewAI

Vector databases

Job description

Riot Games’ Enterprise Technology team seeks a Staff Full-Stack Software Engineer specializing in AI to design and build the AI agent capabilities and product experiences for an internal enterprise intelligence platform. You will own the retrieval, orchestration, and reasoning layer on a semantic data layer, shipping agents, prompts, tool integrations, and the full-stack surface.

This role remains hands-on, building the agents and integrations end-to-end.