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Описание вакансии
Текст:
TL;DR
Staff Software Engineer, Enterprise AI (AI/Full-Stack): Building enterprise AI agents and full-stack search, chat, and workflow experiences on top of a semantic data layer with an accent on retrieval, tool use, grounding, and evaluation. Focus on designing multi-agent orchestration, reducing hallucinations, integrating internal APIs, and operating AI systems with quality, safety, latency, and cost observability.
Company
Riot Games builds games and internal enterprise systems that support company operations and player-focused experiences.
What you will do
- Build and maintain orchestrator and specialist-agent architectures for retrieval, tool use, structured outputs, and multi-step reasoning.
- Design RAG and semantic-search retrieval with embeddings, reranking, evidence citations, and hallucination reduction techniques.
- Integrate AI agents with internal and external tools and APIs so they can perform actions, not only answer questions.
- Develop full-stack applications, APIs, and user interfaces for AI-powered search, chat, and workflow experiences.
- Instrument AI features for quality, safety, reliability, latency, token usage, and cost, then iterate on prompts and model selection.
- Maintain engineering quality through testing, code review, CI/CD, monitoring, security practices, and on-call ownership.
Requirements
- Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or a related field, or equivalent professional experience.
- 8+ years of professional full-stack software development experience.
- End-to-end experience building RAG or agentic systems with retrieval, tool calling, structured outputs, multi-step reasoning, and evaluation loops.
- Experience evaluating nondeterministic systems and establishing AI observability for quality, safety, reliability, latency, token usage, and cost.
- Deep hands-on experience with Node, TypeScript, React, modern frameworks such as NextJS or NestJS, RESTful and GraphQL APIs, and relational and non-relational databases.
- Experience with AWS, Docker, Kubernetes, CI/CD, automated testing, monitoring, security, and performance practices.
Nice to have
- Experience with embedding and reranking models, grounding, citations, vector databases, and agent platforms such as LangGraph, AutoGen, or CrewAI.
- Working familiarity with Python, Databricks, Unity Catalog, lakehouse, and data-catalog concepts.
- Experience shipping an internal AI product from scratch in a small, fast-moving team.
Culture & Benefits
- Collaborative environment focused on craft expertise, ownership, and practical decision-making.
- Open paid time off policy and flexible work schedules.
- Medical, dental, and life insurance.
- Parental leave for employees, spouses or domestic partners, and children.
- 401(k) with company match.
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