> Markdown version of [/jobs/ext/3005414-software-engineering-5-ads-agent-agentic-platform-for-enterprise-new](https://www.wearedevelopers.com/jobs/ext/3005414-software-engineering-5-ads-agent-agentic-platform-for-enterprise-new). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Software Engineering 5 - Ads Agent (Agentic Platform for Enterprise) New

- **Company:** Netflix, Inc.
- **Location:** Los Gatos, CA, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Programming Tools, Graph Database, Software Engineering, Systems Integration, Large Language Models, Multi-Agent Systems, Generative AI, Build Management, Legacy Systems
- **Published:** September 19, 2026
- **Apply:** https://www.gamesjobsdirect.com/job/netflix-game-studio/software-engineering-5-ads-agent-agentic-platform-for-enterprise/359061

## About the Role

* 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.

Nice-to-have

 * 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.

## Description

* 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.


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