Netflix

1 month ago

Software Engineer 5 – Agent Platform, AI Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Build and operate Netflix’s Agent Platform infrastructure that enables engineers to launch production-grade AI agents. Design and maintain the Agent SDK and MCP Gateway, including plan/act/observe lifecycle support, tool/function calling integrations, deployment, and day-2 operations. Make evaluation a core platform capability with tracing, eval suites, and quality signals. Ensure reliability, observability, and guardrails for high-scale non-deterministic systems while partnering with ML, data science, and product teams.

Location: Panama

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and operate the Agent SDK and MCP Gateway used to build, deploy, and run AI agents in production.
•Build agent and infrastructure capabilities across the lifecycle, including plan/act/observe loops and day-2 operations.
•Develop evaluation capabilities such as tracing, eval suites, and quality signals to measure agents and catch regressions.
•Own reliability, observability, and guardrails for non-deterministic systems at very high scale.
•Lead cross-functional initiatives with ML scientists, data scientists, product managers, and other AI Platform teams.

Pay and Benefits

Salary: USD 466,000 - 750,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityDisabilityPaid Leave

Key Requirements

•8+ years of software engineering experience delivering quality results.
•Hands-on experience building, deploying, operating, and evaluating LLM agents in production (beyond prototypes or chat-completion apps).
•Experience with agent frameworks/SDKs and with tool/function calling and MCP (e.g., Strands, OpenAI Agents SDK, Anthropic Claude Agent SDK, LangGraph, pydantic-ai, CrewAI, Google ADK).
•Experience building LLM/agent evaluation and observability (eval suites, tracing, and quality measurement; e.g., Braintrust, LangSmith, W&B).
•Proficiency in Python plus one of Java, Go, C/C++, Rust, or Zig; familiarity with Temporal, FastAPI, PostgreSQL, and Kubernetes is a plus.

Experience:8+ yearsLLM agentsAI platformObservabilityDistributed systems

Skills:Cross-functional collaborationIteration mindsetQuality focusReliability focus

Tech Stack:PythonJavaGoC/C++RustZigStrandsOpenAI Agents SDKAnthropic Claude Agent SDKLangGraphPydantic-aiCrewAIGoogle ADKMCPTool/function callingBraintrustLangSmithW&BTemporalFastAPI

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Netflix

1 month ago

Software Engineer 5 – Agent Platform, AI Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Panama

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and operate the Agent SDK and MCP Gateway used to build, deploy, and run AI agents in production.
•Build agent and infrastructure capabilities across the lifecycle, including plan/act/observe loops and day-2 operations.
•Develop evaluation capabilities such as tracing, eval suites, and quality signals to measure agents and catch regressions.
•Own reliability, observability, and guardrails for non-deterministic systems at very high scale.
•Lead cross-functional initiatives with ML scientists, data scientists, product managers, and other AI Platform teams.

Pay and Benefits

Salary: USD 466,000 - 750,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityDisabilityPaid Leave

Key Requirements

•8+ years of software engineering experience delivering quality results.
•Hands-on experience building, deploying, operating, and evaluating LLM agents in production (beyond prototypes or chat-completion apps).
•Experience with agent frameworks/SDKs and with tool/function calling and MCP (e.g., Strands, OpenAI Agents SDK, Anthropic Claude Agent SDK, LangGraph, pydantic-ai, CrewAI, Google ADK).
•Experience building LLM/agent evaluation and observability (eval suites, tracing, and quality measurement; e.g., Braintrust, LangSmith, W&B).
•Proficiency in Python plus one of Java, Go, C/C++, Rust, or Zig; familiarity with Temporal, FastAPI, PostgreSQL, and Kubernetes is a plus.

Experience:8+ yearsLLM agentsAI platformObservabilityDistributed systems

Skills:Cross-functional collaborationIteration mindsetQuality focusReliability focus

Tech Stack:PythonJavaGoC/C++RustZigStrandsOpenAI Agents SDKAnthropic Claude Agent SDKLangGraphPydantic-aiCrewAIGoogle ADKMCPTool/function callingBraintrustLangSmithW&BTemporalFastAPI

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor