About the job
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.
Since launching our ad-supported tier in 2022, the momentum has been unstoppable—we reach over 94 million global monthly active users! As we enter our fourth year, our ambition is massive, and we are just getting started.
The Team
The Ads Platform Foundations team builds the core platforms, frameworks, and shared services that accelerate development across the Ads organization. We focus on enabling teams to move faster and build consistently through scalable UI infrastructure, common components, and foundational workflows. Our work also powers access control across domains and underpins core systems such as Public API, GenAI foundations, and the Ads Entity Service — a knowledge graph connecting all Ads entities. Together, we provide the technical backbone that drives consistency, reliability, and velocity across Ads.
Responsibilities
Design and build core platform primitives - agent framework, tool/skill registry, orchestration runtime, memory and retrieval infrastructure, evaluation harness - that other domain teams use to build their own agents and skills.
Define APIs/SDKs and integration patterns so domain teams can plug in their own 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/knowledge graphs as a shared grounding/context layer that multiple agents on the platform can draw on.
Partner with domain teams to understand their use cases and shape the platform's building blocks and roadmap accordingly.
Own platform reliability, evaluation/observability tooling, and guardrails that other teams' agents inherit for free.
Ship fast - take things from prototype to a platform primitive other teams can adopt, with tight iteration cycles.
Qualifications
Minimum
Real, hands-on GenAI experience in enterprise contexts - not coding assistants or developer tools. Customer/partner-facing or internal process automation both count.
Experience building platforms, frameworks, or SDKs consumed by other engineering teams - not just point solutions. This role is about building the thing other teams build on top of.
Demonstrated high shipping velocity - a track record of building and launching new systems quickly and working comfortably with ambiguity. Backgrounds dominated by maintaining legacy systems are not a fit here.
Strong software engineering fundamentals - production-grade systems, API/SDK design, backend engineering.
Experience with agent-system building blocks: tool/function calling, orchestration, retrieval-augmented generation (RAG), prompt/context engineering.
Preferred
Experience with entity/knowledge graphs - modeling entities and relations, graph-based retrieval, graph databases, or graph-augmented RAG (useful as a shared grounding layer across agents on the platform).
Experience with agent frameworks (SpringAI, LangGraph, LlamaIndex, AutoGen) or having built comparable orchestration frameworks in-house.
Experience in ads/marketing tech.
Familiarity with evaluation frameworks for LLM/agent quality.