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# Software Engineer 5 - Agent Platform, AI Platform New

- **Company:** Netflix, Inc.
- **Location:** Reading, MA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), C++ (Programming Language), Continuous Integration, Programming Tools, Distributed Systems, Fault Tolerance, Python (Programming Language), PostgreSQL, Open Source Technology, Software Engineering, Management of Software Versions, Rust (Programming Language), Large Language Models, Agentic-AI, Fastapi, AI Platforms, Kubernetes, Golang
- **Published:** October 15, 2026
- **Apply:** https://www.gamesjobsdirect.com/job/netflix-game-studio/software-engineer-5-agent-platform-ai-platform/363438

## About the Role

* Significant software engineering experience (typically 8+ years), with a track record of shipping and operating production systems - not just prototypes.
 * Hands-on experience building, deploying, and operating LLM agents in production - systems that plan, call tools, observe results, and iterate - beyond chat-completion apps or demos.
 * Experience evaluating agents the rigorous way: building eval suites, tracing, and quality signals, then iterating on the results to make agents measurably better.
 * Strong fundamentals in designing and operating scalable, observable, fault-tolerant distributed systems.
 * A track record of building SDKs, APIs, or libraries that other engineers build on - you think in contracts, versioning, and developer experience, not just features.
 * Working fluency with modern agent frameworks and the tool/function-calling and MCP patterns they share - deep enough to have an opinion about where they help and where they get in the way.
 * Proficiency in Python and its packaging tooling, plus one of Java, Go, C/C++, Rust, or Zig.
 * A track record of choosing what to build by business impact, not technical interest alone - you partner closely with the teams and stakeholders you serve, and can point to outcomes that moved the business, not just systems you shipped.
 * Strong written and verbal communication; comfort with ambiguity; able to drive both 0-to-1 and 1-to-100 work; effective across a distributed (US) team., * Experience building memory or state systems for agents - context that compounds across runs - especially at high scale.
 * Experience with the emerging class of agent concerns: agent identity and permissioning, guardrails and safety, and cost governance for LLM and agent workloads.
 * Credibility in a relevant open-source ecosystem (agent frameworks, runtimes, evaluation, or developer tooling).
 * Familiarity with our stack - Temporal, FastAPI, PostgreSQL, Kubernetes - and with large-scale build, release, CI/CD, and observability practices.