AI Engineer 6 - AI Foundation & Tooling, Ads Platform

Netflix
Panama
Workplace: RemoteFull timeUSD 600,000 - 1,066,000 annuallyFunction: Data Science & Machine LearningSkills: ["Technical adoption","Hands-on mentorship","Architecture reviews"]

Build AI infrastructure and agentic workflows that enable an AI-native engineering team for the Ads Platform. Architect a centralized context layer, design end-to-end agent workflows (code generation, test creation, PR pre-review, and deployment validation), and create AI-powered operational workflows for incident triage and guided resolution. Drive standardized AI development environments and adoption through hands-on enablement, using applied AI with RAG and agent frameworks to improve speed and quality.

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FursaFursa
Netflix
Netflix
2 years ago

AI Engineer 6 - AI Foundation & Tooling, Ads Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 26 minutes agoStatus: Live

Job Summary

Build AI infrastructure and agentic workflows that enable an AI-native engineering team for the Ads Platform. Architect a centralized context layer, design end-to-end agent workflows (code generation, test creation, PR pre-review, and deployment validation), and create AI-powered operational workflows for incident triage and guided resolution. Drive standardized AI development environments and adoption through hands-on enablement, using applied AI with RAG and agent frameworks to improve speed and quality.
Location: Panama
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Architect and build a centralized context layer grounded in team-specific knowledge for AI agents.
  • •Design and implement agentic workflows across the full development lifecycle (AI code generation, automated test creation, PR pre-review, deployment validation).
  • •Create AI-powered operational workflows for incident triage, log/metric correlation, root cause analysis, and guided resolution.
  • •Develop multi-agent orchestration so parallel agents coordinate implementation, testing, and documentation.
  • •Set up standardized AI development environments and drive team-wide AI adoption through enablement and feedback loops.

Pay and Benefits

Salary: USD 600,000 - 1,066,000 annually
Perks:Health Insurance401kEquityDisability ProgramsPaid Leave

Key Requirements

  • •3+ years focused on applied AI systems.
  • •Experience building and deploying agentic AI systems in production, including 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 for production-grade systems.
  • •Deep experience with retrieval-augmented generation, including document indexing, embedding strategies, retrieval pipelines, and grounding techniques.
Skills:Technical adoptionHands-on mentorshipArchitecture reviews
Tech Stack:PythonJVMLLMsAgentic frameworksRetrieval-augmented generationRAGContext engineeringTool useFunction callingStructured outputsMulti-agent coordinationEmbedding strategiesRetrieval pipelinesGrounding techniquesCI/CDA/B testingTest generationDeployment validation

Company Brief

Netflix
Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Los Gatos, United States
Founded: 1997
Glassdoor
Glassdoor: 4.1
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