> Markdown version of [/jobs/ext/4691756-software-engineer-5-agent-platform-ai-platform](https://www.wearedevelopers.com/jobs/ext/4691756-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). --- # Software Engineer 5 - Agent Platform, AI Platform - **Company:** Netflix, Inc. - **Location:** Beverly Hills, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), Continuous Integration, Distributed Systems, Fault Tolerance, Python (Programming Language), PostgreSQL, OpenAI, Software Engineering, Rust (Programming Language), Large Language Models, Agentic-AI, Fastapi, AI Platforms, LangSmith, Kubernetes, CrewAI, Claude, Invoking Functions, Agent SDK, Golang - **Published:** November 12, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-5-agent-platform-ai-platform-beverly-hills-ca--cdf64d8b-d788-41b9-83e5-1aafa8f9ea4e ## About the Role Software Engineering, Artificial Intelligence (AI), Storytelling, Leading Edge Technology, Content Development, Artificial Intelligence (AI), Product Development, Use Cases, MCP - Microsoft Certified Professional, Application Programming Interface (API), * 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.