Software Engineer 5 – Agent Platform, AI Platform

🕒 vor 18 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $466.000 - $750.000 / Jahr

⏰ Vollzeit

🟠 Senior

🔴 Experte

🏗️ Plattformingenieur

🗣️🇺🇸🇬🇧 Englisch erforderlich

Jetzt Bewerben
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Logo of Netflix

Netflix

10.000+ Mitarbeiter

Gegründet 1997

📱 Medien

👥 B2C

Media • B2C

Netflix ist ein globales Streaming-Unterhaltungsunternehmen und Inhaltsproduzent, dessen erklärte Mission es ist, „die Welt zu unterhalten“. Es betreibt eine verbraucherorientierte Abonnementplattform, die TV-Sendungen, Filme und Originalprogramme auf Abruf anbietet, und betreibt außerdem eine öffentliche Karriereseite, die den Schwerpunkt auf Kultur, Inklusion und Einstellungsanpassungen legt. Der bereitgestellte Text hebt hervor, dass Netflix weltweit Talente rekrutiert, seine Seiten zu Arbeitsleben und Kultur sowie seine öffentlich zugänglichen Arbeitgebermaterialien.

Beschreibung

• Design, build, and operate the Agent SDK and MCP Gateway that Netflix engineers use to build, deploy, and run AI agents in production. • Build agents and agent infrastructure across the full lifecycle — plan/act/observe loops, tool and MCP integrations, deployment, and day-2 operations. • Make evaluation a first-class part of the platform: build the tracing, eval suites, and quality signals that let teams measure agents, catch regressions, and iterate to make them better. • Own reliability, observability, and guardrails for non-deterministic systems running at very high scale. • Lead cross-functional initiatives with ML scientists, data scientists, product managers, and other AI Platform teams. • Rapidly iterate with users to improve the developer experience while establishing durable foundational capabilities.

🎯 Anforderungen

• 8+ years of software engineering experience with a track record of delivering quality results. • Hands-on experience building, deploying, operating, AND evaluating LLM agents in production — not just chat-completion apps or prototypes. • Experience with one or more agent frameworks/SDKs (Strands, OpenAI Agents SDK, Anthropic Claude Agent SDK, LangGraph, pydantic-ai, CrewAI, Google ADK) and with tool/function calling and MCP. • Experience with LLM/agent evaluation and observability — building eval suites, tracing, and quality measurement, then iterating on results (Braintrust, LangSmith, W&B, or equivalent). • Strong experience building SDKs and APIs for internal or external developers. • Strong fundamentals in building and operating scalable, observable, fault-tolerant distributed systems. • Proficiency in Python (and Python packaging tooling) plus one of Java, Go, C/C++, Rust, or Zig. • Familiarity with our stack — Temporal, FastAPI, PostgreSQL, Kubernetes — is a plus. • Experience with large-scale build, release, CI/CD, and observability methods.

🏖️ Vorteile

• Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • Full-time hourly employees accrue 35 days annually for paid time off • Full-time salaried employees are immediately entitled to flexible time off

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