Software Engineer 5 – Agent Platform, AI Platform

🕒 July 15

🇺🇸 United States – Remote

💵 $466k - $750k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

👻 Ghost score 6%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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