Senior AI Platform Engineer - Agentic Systems

Roblox•San Mateo, CA

1d•Hybrid

About The Position

Join the AI Platform team at Roblox, where our mission is to create a cutting-edge AI/ML platform that powers some of the most innovative and widely used products in the world. As an AI Platform Engineer focused on Agentic Systems, you'll be at the forefront of building the critical backbone—Context Engineering with the Knowledge Graphs and Vector Databases, Platforms to execute and evaluate our agents. Your work will directly shape the Roblox experience for millions of users, empowering a new era of AI-driven creativity, safety, and connection. The core focus of this role is to engineer and scale the foundational data infrastructure that grounds and empowers all of Roblox’s AI applications.

Requirements

5+ years of professional experience designing, building, and operating large-scale distributed systems and production-grade ML infrastructure.
Proven expertise in AI platform features, with a specific focus on ML Data Infrastructure.
Deep understanding of the architectural challenges and solutions for highly performant Vector Databases (e.g., indexing, partitioning) and Knowledge Graphs (e.g., query languages, serving architectures).
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
A strong builder’s mindset, driven by a passion for pioneering AI platform innovation and delivering technology that connects people globally.

Responsibilities

Design, develop, and operate Knowledge Graph systems for serving, ingesting data, and executing graph queries at massive scale for critical ML applications (e.g., recommendations, fraud detection, safety, and social proof).
Own and significantly improve our Vector Database infrastructure, scaling it to support 100B+ vector searches and ensuring high-performance, low-latency lookups.
Build robust, highly available APIs and services to seamlessly integrate Knowledge Graphs and Vector DBs into new agentic and RAG (Retrieval-Augmented Generation) applications.
Research, evaluate, and pioneer the adoption of the latest advancements in VectorDB technology, Knowledge Graphs, and Ground Truth Data labeling practices to define new industry standards.
Develop comprehensive evaluation frameworks to measure agentic performance, safety, and reliability.