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.

Responsibilities

• Architect and build a centralized context layer that gives AI agents grounded, team-specific knowledge
• Design and implement agentic workflows for the full development lifecycle: AI-assisted code generation, automated test creation, PR pre-review, and deployment validation
• Build AI-powered operational workflows — automated incident triage, log and metric correlation, root cause analysis, and guided resolution
• Develop multi-agent orchestration where parallel agents handle implementation, testing, and documentation as coordinated workflows
• Set up standardized AI development environments so every engineer can work in an AI-first workflow from day one
• Drive team-wide AI adoption through hands-on enablement — pairing sessions, architecture reviews, workflow demonstrations, and continuous feedback loops

Skills

• 3+ years of significant focus on applied AI systems
• Proven experience building and deploying agentic AI systems in production — agent architectures, tool integration, orchestration, and evaluation frameworks
• Hands-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 prototypes
• Deep experience with retrieval-augmented generation — document indexing, embedding strategies, retrieval pipelines, and grounding techniques
• Proficiency in Python and/or JVM languages
• Demonstrated 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 workflows
• Prior 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 environment
• Familiarity with LLM application patterns: context engineering, tool use / function calling, structured outputs, multi-agent coordination, and evaluation / hill-climbing methodologies
• Experience integrating AI into CI/CD pipelines (automated PR review, test generation, deployment validation)
• Background in building operational tooling — incident response automation, log analysis, diagnostic workflows

Benefits

• Health Plans
• Mental Health support
• A 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
• Full-time salaried employees are immediately entitled to flexible time off

Company Overview

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