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Technical Director - AI Roblox Studio
Job in
San Mateo, San Mateo County, California, 94409, USA
Listed on 2026-08-14
Listing for:
Workman Labs
Full Time
position Listed on 2026-08-14
Job specializations:
-
Software Development
AI Engineer (Applied/Software)
Job Description & How to Apply Below
Hands-on individual-contributor role owning the technical direction of the agentic AI systems embedded in Roblox Studio as it evolves into an AI-Native IDE where intelligent systems plan, act, validate, and iterate alongside creators.
$399,420 – $457,970 / yr
Location
San Mateo, CA
Hybrid
Seniority
Director
Compared with 41 other Engineering roles:
Common across similar roles Unique to this role
What you'll do
Responsibilities- 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 Common
- Decide how Studio uses coding models, agents, retrieval, tool calling, and context management across the Assistant and the broader creator workflow Common
- Own the quality bar and evaluation strategy, standing up quantitative and qualitative eval pipelines including human-in-the-loop
- Optimize systems for latency, throughput, and cost (caching, routing, distillation, quantization)
- Bring reusable patterns and best practices to teams across Studio, raising applied-AI fluency of Studio engineering
- 12+ years of engineering experience, including ownership of large-scale, long-lived platforms
- Deep, hands-on experience building LLM-powered and agentic systems in production, beyond chat-based interfaces Common
- Strong systems and software engineering skills — able to design the architecture and write the code
- Track record defining evaluation frameworks for AI product quality, combining automated metrics with human review, and optimizing inference for latency, throughput, and cost
- Strong background in developer tools or IDE-like platforms; proven ability to set technical direction across multiple teams as an individual contributor
- Preferred: background in coding models or code-generation systems, and/or research experience in reinforcement learning (RLHF, RLAIF, preference modeling)
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