Member of Technical Staff, Agentic Systems - Games

Netflix
United States
Workplace: OnsiteFull timeUSD 890,000 - 1,690,000 annuallyFunction: Software EngineeringExperience: 7+ yearsSkills: ["Communication","Cross-functional collaboration","Product thinking","Hands-on engineering","Evaluation design"]

Lead the strategy and hands-on engineering of agentic GenAI tools for Netflix Games. Define AI product opportunities, roadmaps, and architectures that connect to the game ecosystem, then prototype quickly to production-grade multi-step, tool-use, and multi-agent systems. Build reusable agent primitives and evaluation infrastructure (offline/online) while partnering across studios, platforms, and external researchers to scale inference, data pipelines, and responsible AI safety guardrails.

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FursaFursa
Netflix
Netflix
1 month ago

Member of Technical Staff, Agentic Systems - Games

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Lead the strategy and hands-on engineering of agentic GenAI tools for Netflix Games. Define AI product opportunities, roadmaps, and architectures that connect to the game ecosystem, then prototype quickly to production-grade multi-step, tool-use, and multi-agent systems. Build reusable agent primitives and evaluation infrastructure (offline/online) while partnering across studios, platforms, and external researchers to scale inference, data pipelines, and responsible AI safety guardrails.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Identify opportunities where AI can add value, defining product strategy and architecture for new enablement systems.
  • •Create product roadmaps from user research and quantitative data, distinguishing hype from value and prioritizing highest-return investments.
  • •Prototype to shipping: define what’s worth building, validate with real systems, and take features to production without handoff.
  • •Contribute production-grade agentic systems including multi-step reasoning pipelines, tool-use agents, multi-agent orchestration, and autonomous workflows.
  • •Build evaluation infrastructure and scale capabilities with robust solutions for model inference, data pipelines, responsible AI compliance, and safety guardrails.

Pay and Benefits

Salary: USD 890,000 - 1,690,000 annually
Perks:Health Insurance401kEquityPaid LeaveDisability ProgramsLife Benefits

Key Requirements

  • •7+ years experience in AI product strategy, machine learning, and AI engineering with strong hands-on engineering.
  • •3+ years experience in the game development industry.
  • •Experience with product management: identifying user needs, defining roadmaps, and running production development workstreams.
  • •Deep, practical experience building and deploying agentic AI systems in production, including multi-step reasoning, tool use, multi-agent orchestration, or autonomous workflow automation.
  • •Strong Python engineering skills with agentic frameworks such as LangChain, LangGraph, AutoGen, Google ADK (or equivalent).
Experience:7+ yearsAIMachine learningGames
Skills:CommunicationCross-functional collaborationProduct thinkingHands-on engineeringEvaluation design
Tech Stack:PythonLangChainLangGraphAutoGenGoogle ADKUnrealUnityClaude CodeCoworkOpenClawMCPModel Context ProtocolLoRAQLoRADPORLHFA/B testing

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
Glassdoor: 4.1
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