Gen AI Full-Stack Architect (Staff Level)

Scale AI, Inc.; San Francisco (CA); On-site; USD 252,000 - 315,000; Full time

Job summary

Scale AI, Inc. is seeking an L6 Staff Fullstack Engineer & Architect to drive architectural evolution across the Contributor teams. You will embed into high-priority projects and ensure execution, unblock teams, and ship mission-critical initiatives while shaping the long-term tech stack to be AI-native.

You will mentor engineers, collaborate with product and leadership on roadmaps, and own large, complex problems spanning backend, frontend, and ML systems to deliver scalable, robust solutions.

Qualifications

• 7+ years of full-time engineering experience, post-graduation, with a proven track record of operating as a Tech Lead, Architect, or Principal Engineer.
• Track record of shipping high-quality products and features at scale.
• Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies.

Responsibilities

• Deploy flexibly into critical, fast-moving product initiatives across the CB organization.
• Lead the architectural overhaul of our platform infrastructure, making it highly sustainable, robust, and optimized for deep integration with LLMs and foundation models.
• Lead architecture decisions for scalability, reliability, and performance.
• Mentor and uplevel engineers across the team.
• Partner with product and leadership to shape roadmap and priorities.
• Own large, ambiguous problem spaces end-to-end.
• Work across backend, frontend, and ML systems.

Skills

Javascript/Typescript

SQL

Tools

Kubernetes

AWS

Azure

GCP

Job description

Scale AI, Inc. is seeking an L6 Staff Fullstack Engineer & Architect to drive architectural evolution across the Contributor teams. You will embed into high-priority projects and ensure execution, unblock teams, and ship mission-critical initiatives while shaping the long-term tech stack to be AI-native.

You will mentor engineers, collaborate with product and leadership on roadmaps, and own large, complex problems spanning backend, frontend, and ML systems to deliver scalable, robust solutions.