AI 工程师 6 - AI 基础架构与工具，广告平台
AI Engineer 6 - AI Foundation & Tooling, Ads Platform
在Netflix，我们的使命是娱乐全世界。我们正在书写下一章——突破叙事的边界、全球粉丝文化，将难以想象的事情变为现实。我们是一支梦想团队，痴迷于探索创意、直觉和尖端技术融合时带来的不适感与兴奋感。加入我们，成为未来的一部分。
[我们在2022年11月推出了新的广告支持层级](https://deadline.com/2022/11/netflix-ads-launch-what-to-know-1235162223/)，为会员提供更多内容消费选择。我们的新层级可以以更低的价格吸引新会员，同时为广告商提供一条有力的途径，触达深度参与的受众。
### 我们的团队
广告平台工程团队构建广告系统和集成，利用我们世界级的内容分发生态系统来实现广告的投放。我们使用Netflix的多项投资和创新来驱动广告——客户端和服务器端广告插入的独特组合、最先进的内容分发系统、广告编码配方、内容理解及元数据等。我们以对会员观看体验负责的方式投放广告，并为广告商带来出色的效果。我们还确保在投放过程中广告商的品牌安全，会员只看到最适合他们的广告。
### **职位简介**
我们正在寻找一位资深AI工程师加入我们，成为首位专职AI工程师。你的核心任务是构建AI基础设施和代理工作流，改变我们团队开发和运营软件的方式。
这是一个从零开始的机会。你不会维护现有的AI系统——而是从零开始设计和构建它们。我们的团队已有活跃的AI倡导者和早期工具已投入生产，但我们需要一位有深厚实践经验的人来构建基础层，加速我们向AI原生工程的进程。我们当前的代码规模合理，但正以惊人的速度扩展；该职位的核心部分是在AI驱动的速度与质量之间找到正确的平衡——更快地交付，而不会积累低效、回归或责任漏洞。
该职位专注于应用AI——使用现有模型和工具构建生产系统，而不是训练大语言模型（LLMs）。你将利用大型语言模型、代理框架和检索增强生成来解决实际的基础设施和产品问题，直接面向生产环境。
查看英文原文
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
[We launched a new ad-supported tier](https://deadline.com/2022/11/netflix-ads-launch-what-to-know-1235162223/) in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply engaged.
### Our Team
The Ads Platform Engineering teams build advertising systems and integrations that powers the delivery of ads using our world class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - unique mix of client and server side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata etc. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them.
### **About the Role**
We're looking for a Staff AI Engineer to join us as the first dedicated AI engineer. Your core mission is to build the AI infrastructure and agentic workflows that transform how our team develops and operates software.
This is a greenfield opportunity. You won't be maintaining existing AI systems — you'll be designing and building them from scratch. Our team has active AI champions and early tooling already in production, but we need someone with deep hands-on experience to architect the foundational layer and accelerate our path to AI-native engineering. Our code footprint is reasonable today but expanding at an extraordinary pace; a core part of this role is striking the right balance between AI-driven speed and quality — shipping faster without accumulating slop, regressions, or accountability gaps.
This role focuses on applied AI — building production systems with existing models and tools, not training LLMs. You'll leverage large language models, agentic frameworks, and retrieval-augmented generation to solve real infrastructure and product problems, with a direct impact on how quickly and confidently the team can deliver in a competitive market.
### **What You’ll Do**
**AI Infrastructure & Agentic Workflows**
- 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 & experience we’re seeking:**
- 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
### **Nice to haves:**
- 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
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.
Netflix provides comprehensive benefits including 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, and Life and Serious Injury Benefits. We also offer 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. See more details about our Benefits [here](https://jobs.netflix.com/work-life-philosophy).
Netflix is a unique culture and environment. Learn more [here](https://jobs.netflix.com/culture).
[Inclusion](https://about.netflix.com/en/inclusion) is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.