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Netflix

Streams shows, films and live events worldwide

Software Engineering 5 - Ads Agent, Agentic Platform for Enterprise

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Hands-on experience with generative AI in enterprise contexts, including customer/partner-facing use cases or internal process automation rather than coding assistants or developer tools.
  • Experience building platforms, frameworks, or software development kits consumed by other engineering teams, rather than only point solutions.
  • A track record of building and launching new systems quickly, working comfortably with ambiguity, and demonstrating high shipping velocity.
  • Strong software engineering fundamentals, including production-grade systems, application programming interface and software development kit design, and backend engineering.
  • Experience with agent-system building blocks, including tool/function calling, orchestration, retrieval-augmented generation, and prompt/context engineering.

Responsibilities

  • Design and build core platform primitives, including an agent framework, tool/skill registry, orchestration runtime, memory and retrieval infrastructure, and evaluation harness, for use by domain teams building agents and skills.
  • Define application programming interfaces, software development kits, and integration patterns that allow domain teams to connect enterprise non-coding use cases without rebuilding core agent infrastructure.
  • Build and iterate on the platform's tool/function-calling framework, planning/orchestration layer, memory, and retrieval subsystems.
  • Explore entity and knowledge graphs as a shared grounding and context layer for agents on the platform.
  • Partner with domain teams to understand their use cases and shape the platform's building blocks and roadmap.
  • Own platform reliability, evaluation and observability tooling, and guardrails inherited by other teams' agents.
  • Move prototypes quickly into platform primitives that other teams can adopt, using tight iteration cycles.

Desired Qualifications

  • Experience with entity or knowledge graphs, including modeling entities and relations, graph-based retrieval, graph databases, or graph-augmented retrieval-augmented generation.
  • Experience with agent frameworks such as SpringAI, LangGraph, LlamaIndex, or AutoGen, or having built comparable orchestration frameworks in-house.
  • Experience in advertising or marketing technology.
  • Familiarity with evaluation frameworks for large language model or agent quality.

About the Company

Netflix

Streams shows, films and live events worldwide

Netflix runs a subscription streaming service for TV series, films, documentaries, games and live events, watched by members around the world. Its catalog mixes licensed titles with originals it commissions in dozens of countries, from Korean dramas like Squid Game to stand-up specials and live sports. Members watch on smart TVs, phones, computers and game consoles, and a recommendation system shapes what each profile sees first. Netflix earns most of its revenue from monthly membership fees, including a lower-priced plan with ads sold through its own advertising technology. Netflix was founded in 1997 as a DVD-by-mail rental service and is headquartered in Los Gatos, California.

Company size
10,001+
Company stage
IPO
Headquarters
Los Gatos, CA
Founded
1997

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