Technical Director - AI Roblox Studio

Roblox Roblox · Consumer · San Mateo, CA · Software Engineering

Technical Director, Applied AI to own the technical direction of agentic AI systems embedded deeply into Roblox Studio, acting as an AI-Native IDE. This hands-on role involves setting technical direction, designing architecture, and writing code for agentic AI systems, including planning, execution, validation, and evaluation, while optimizing for latency, throughput, and cost.

What you'd actually do

  1. Design and build the agentic AI systems at the core of the AI-Native IDE (planning, execution, validation, evaluation) so they are production-grade and reliable.
  2. Decide how Studio uses coding models, agents, retrieval, tool calling, and context management across the Assistant and the broader creator workflow.
  3. Own the quality bar and evaluation strategy, standing up quantitative and qualitative eval pipelines, including human-in-the-loop, so we ship with confidence.
  4. Optimize these systems for latency, throughput, and cost (caching, routing, distillation, quantization).
  5. Bring reusable patterns and best practices to teams across Studio, raising the applied-AI fluency of Studio engineering.

Skills

Required

  • LLM-powered and agentic systems in production
  • systems and software engineering
  • design architecture
  • write code
  • defining evaluation frameworks for AI product quality
  • optimizing inference for latency, throughput, and cost
  • developer tools or IDE-like platforms
  • set technical direction
  • raise quality across multiple teams as an individual contributor

Nice to have

  • coding models
  • code-generation systems
  • research experience in reinforcement learning (RLHF, RLAIF, preference modeling)
  • related model-training techniques

What the JD emphasized

  • 12+ years of engineering experience
  • Deep, hands-on experience building LLM-powered and agentic systems in production
  • A track record of defining evaluation frameworks for AI product quality

Other signals

  • AI-Native IDE
  • agentic AI systems
  • developer experience
  • production-grade and reliable
  • quality bar and evaluation strategy