The Staff AI Engineer role at Netflix focuses on building AI infrastructure and workflows to enhance software development processes. This position is part of the Ads Platform Engineering team, which is dedicated to creating innovative advertising systems. The engineer will work on designing and implementing AI-driven solutions from scratch, ensuring a balance between speed and quality in software delivery. This is a unique opportunity to shape the future of AI integration within the team.

• 3+ years of significant focus on applied AI systems
• Proven experience building and deploying agentic AI systems in production
• Hands-on experience setting up AI infrastructure for end-to-end software development workflows
• Strong software engineering fundamentals with a focus on production-grade systems
• Deep experience with retrieval-augmented generation techniques
• Proficiency in Python and/or JVM languages
• Demonstrated ability to drive technical adoption across a team

• Architect and build a centralized context layer for AI agents
• Design and implement agentic workflows for the full development lifecycle
• Build AI-powered operational workflows for incident management and resolution
• Develop multi-agent orchestration for coordinated workflows
• Set up standardized AI development environments for engineers
• Drive team-wide AI adoption through hands-on enablement and feedback loops

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.