Staff Fullstack Architect for AI Data Platform

Neura Market; New York (NY); On-site; USD 252,000 - 315,000; Full time

Benefits offered by this job

Comprehensive health coverage

Retirement benefits

Learning and development stipend

Generous PTO

Commuter stipend

Job summary

Scale AI is seeking a L6 Staff Fullstack Engineer & Architect who reports to the Director of Contributor Engineering. This role spans CB teams across Allocation, Growth, Trust & Safety, Pay, and Allocations, driving architecture and execution for AI data operations.

You will lead critical initiatives, shape long-term stack evolution, mentor engineers, and partner with product to set roadmaps. The position emphasizes scalable, AI-native infrastructure and hands-on engineering across backend,

Qualifications

• 7+ years of full-time engineering experience in a Tech Lead/Architect/Principal Engineer role.
• Proven track record shipping high-quality products and features at scale.
• Experience productizing LLMs, vector databases, and related AI technologies.
• Proficient in JavaScript/TypeScript and SQL.
• Experience with Kubernetes and major cloud providers (AWS, Azure, GCP).

Responsibilities

• Deploy into high-impact, cross-team product initiatives across CB org.
• Oversee architectural overhaul of platform infrastructure for an AI-native stack.
• Lead architecture decisions for scalability, reliability, and performance.
• Mentor and uplift 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

Kubernetes

Cloud providers (AWS/Azure/GCP)

Tools

Vector databases

Job description

Scale AI is seeking a L6 Staff Fullstack Engineer & Architect who reports to the Director of Contributor Engineering. This role spans CB teams across Allocation, Growth, Trust & Safety, Pay, and Allocations, driving architecture and execution for AI data operations.

You will lead critical initiatives, shape long-term stack evolution, mentor engineers, and partner with product to set roadmaps. The position emphasizes scalable, AI-native infrastructure and hands-on engineering across backend,