AI Engineer 6 - AI Foundation & Tooling, Ads Platform
Core
Build AI infrastructure and agentic workflows to transform how the Ads Platform Engineering team develops and operates software, focusing on production systems for code generation, testing, and operational automation.
Role type
Staff AI Engineer (Applied AI & Infrastructure)
Builds
Centralized context layers, agentic workflows for the full development lifecycle, AI-powered operational tooling, and standardized AI development environments.
Domain
Streaming media advertising platform engineering
Deliverable
production ML models | infrastructure
Required skills
Applied AI systems design, agentic AI system architecture, retrieval-augmented generation (RAG), software engineering fundamentals, Python or JVM languages, technical adoption leadership
Preferred skills
First/early AI engineer experience, LLM application patterns (context engineering, tool use, multi-agent coordination), CI/CD pipeline integration, operational tooling background
Technologies
Large language models, agentic frameworks, retrieval-augmented generation, Python, JVM languages
Responsibilities
Architect and build a centralized context layer for AI agents, design agentic workflows for code generation and automated testing, build AI-powered operational workflows for incident triage, develop multi-agent orchestration systems, set up standardized AI development environments, drive team-wide AI adoption through enablement
Seniority
Staff, hands-on IC with strategic scope
