Senior Software Engineer: Assistant

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. 

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. 

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

You'll build the agentic AI system that powers creation for millions of Roblox creators. The Assistant team is converging Studio Assistant (desktop) and Build (mobile) into a single cloud-native architecture — one harness, one tool set, one eval framework. You'll work across the full stack: cloud orchestration, LLM integration and model routing, tool/skill execution, and the creator-facing client. The system orchestrates multi-step creation workflows end-to-end: planning, code generation, asset creation, and automated testing.

You Will:

• Help and understand the needs of the community that uses our software, from beginning artists to professional scripters and designers.


• Take ownership and responsibility for designing, building, testing, and deploying services within the Roblox ecosystem.


• Work on a variety of unique technical challenges within complex systems.


• Be a technical bar-raiser for high code quality, architectural designs, and long-term planning.


• Develop fellow engineers on the team.

You Have:

• 5+ years of experience shipping high-complexity software and supporting mission-critical applications at scale.


• Experience architecting, designing, and leading implementation across a wide range of software products and systems.


• Experience building AI infrastructure, including systems for model serving, orchestration, reliability, and production observability.


• Familiarity with agentic systems and multi-step execution loops, including planning, tool use, recovery, and long-running workflows.


• Understanding of tools, skills, and evaluation frameworks for AI systems, including how to design reliable tool interfaces, improve capability coverage, and measure quality through structured evals.


• Expertise in component-based libraries and frameworks, with a strong grasp of building performant, high-quality user experiences.


• Proficiency in C++, C#, Java, or similar programming languages.


• Strong understanding of SQL and NoSQL systems at scale.


• Deep understanding of the components required to build modern large-scale infrastructure, with the judgment to evaluate tradeoffs, recommend pragmatic solutions, and align engineers around a direction.