[Remote] AI Engineer 6 - AI Foundation & Tooling, Ads Platform

Note: The job is a remote job and is open to candidates in USA. Netflix is a leading entertainment company dedicated to pushing the boundaries of storytelling and technology. They are seeking a Staff AI Engineer to build AI infrastructure and workflows that transform software development processes within the Ads Platform Engineering team.ResponsibilitiesArchitect and build a centralized context layer that gives AI agents grounded, team-specific knowledgeDesign and implement agentic workflows for the full development lifecycle: AI-assisted code generation, automated test creation, PR pre-review, and deployment validationBuild AI-powered operational workflows — automated incident triage, log and metric correlation, root cause analysis, and guided resolutionDevelop multi-agent orchestration where parallel agents handle implementation, testing, and documentation as coordinated workflowsSet up standardized AI development environments so every engineer can work in an AI-first workflow from day oneDrive team-wide AI adoption through hands-on enablement — pairing sessions, architecture reviews, workflow demonstrations, and continuous feedback loopsSkills3+ years of significant focus on applied AI systemsProven experience building and deploying agentic AI systems in production — agent architectures, tool integration, orchestration, and evaluation frameworksHands-on experience setting up AI infrastructure for end-to-end software development workflows (AI coding assistants, context engineering, automated testing)Strong software engineering fundamentals — you build production-grade systems, not just prototypesDeep experience with retrieval-augmented generation — document indexing, embedding strategies, retrieval pipelines, and grounding techniquesProficiency in Python and/or JVM languagesDemonstrated ability to drive technical adoption across a team — you can demonstrate value, build trust through pairing and architecture reviews, and bring engineers along on new workflowsPrior experience as the first or early AI engineer on a team — standing up AI capabilities where none previously existed, with the ownership and initiative of an early-stage environmentFamiliarity with LLM application patterns: context engineering, tool use / function calling, structured outputs, multi-agent coordination, and evaluation / hill-climbing methodologiesExperience integrating AI into CI/CD pipelines (automated PR review, test generation, deployment validation)Background in building operational tooling — incident response automation, log analysis, diagnostic workflowsBenefitsHealth PlansMental Health supportA 401(k) Retirement Plan with employer matchStock Option ProgramDisability ProgramsHealth Savings and Flexible Spending AccountsFamily-forming benefitsLife and Serious Injury BenefitsPaid leave of absence programsFull-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time offFull-time salaried employees are immediately entitled to flexible time offCompany OverviewNetflix is an online streaming platform that enables users to watch TV shows and movies. It was founded in 1997, and is headquartered in Los Gatos, California, USA, with a workforce of 10001+ employees. Its website is https://www.netflix.com.Company H1B SponsorshipNetflix has a track record of offering H1B sponsorships, with 65 in 2026, 310 in 2025, 309 in 2024, 191 in 2023, 261 in 2022, 268 in 2021, 225 in 2020. Please note that this does not guarantee sponsorship for this specific role.