Member of Technical Staff, Agentic Systems - Games
Core
Technical leader driving strategy, product definition, and hands-on engineering for GenAI tools and agentic systems across Netflix Games.
Role type
Senior IC technical leader (Agentic Systems & AI Product Strategy)
Builds
Production-grade agentic systems, multi-agent orchestration pipelines, reusable agent primitives, and AI enablement infrastructure for game studios.
Domain
Interactive entertainment / Game Development / Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
AI product strategy, agentic AI system design, multi-agent orchestration, Python engineering, LLM fine-tuning (SFT, DPO, LoRA, RLHF), AI evaluation infrastructure, game engine integration (Unreal/Unity), cross-functional leadership
Preferred skills
Model Context Protocol (MCP), inference optimization, responsible AI safety frameworks, published research in agentic systems
Technologies
LangChain, LangGraph, AutoGen, Google ADK, Claude Code, Cowork, OpenClaw, Unreal Engine, Unity
Responsibilities
Define product strategy and architecture for AI enablement systems; prototype and ship features from concept to production; build code harnesses connecting frontier models to game engines and APIs; design multi-step reasoning and autonomous workflow pipelines; manage a small team of engineers; establish AI evaluation strategies including offline benchmarks and online A/B testing.
Seniority
Senior, hands-on IC with team management
