> Markdown version of [/jobs/ext/3186228-software-engineer-5-agent-platform-ai-platform](https://www.wearedevelopers.com/jobs/ext/3186228-software-engineer-5-agent-platform-ai-platform). 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 Engineer 5 - Agent Platform, AI Platform

- **Company:** Netflix, Inc.
- **Location:** Reading, MA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), Continuous Integration, Distributed Systems, Fault Tolerance, Python (Programming Language), PostgreSQL, Software Engineering, Rust (Programming Language), Large Language Models, Fastapi, AI Platforms, Kubernetes, Golang
- **Published:** September 1, 2026
- **Apply:** https://www.gamesjobsdirect.com/job/netflix-game-studio/software-engineer-5-agent-platform-ai-platform/354710

## About the Role

* 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.

## 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.


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- [Build your backend using FastAPI](https://www.wearedevelopers.com/videos/506-build-your-backend-using-fastapi)
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- [Agentic AI: building autonomous systems for developers](https://www.wearedevelopers.com/videos/100034-agentic-ai-building-autonomous-systems-for-developers)
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- [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)
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- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)
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