Staff Full-Stack Architect for AI Data Platform

United States Digital Space LLC; New York (NY); On-site; USD 252,000 - 315,000; Full time

Benefits offered by this job

Health, dental & vision coverage

Retirement benefits

Learning stipend

Generous PTO

Commuter stipend

Job summary

United States Digital Space LLC is seeking a highly experienced L6 Staff Fullstack Engineer & Architect to drive architectural overhaul across CB teams and to guide long-term tech evolution. The role spans backend, frontend, and ML systems with direct collaboration to shape roadmaps and priorities.

You will deploy into critical, fast-moving product initiatives, mentor engineers, and lead scalable, robust platforms integrated with LLMs and foundation models.

Qualifications

• 7+ years of full-time engineering experience, with Tech Lead/Architect experience.
• Track record of shipping high-quality products at scale.
• Experience with LLMs, vector databases, and AI technologies.
• Proficient in Javascript/Typescript and SQL.
• Experience with Kubernetes and major cloud providers (AWS, Azure, GCP).

Responsibilities

• Embed into high-priority CB projects and guarantee execution.
• Lead architectural overhaul of platform infrastructure for AI-native stack.
• Make architecture decisions for scalability, reliability, and performance.
• Mentor and uplift engineers across the team.
• Partner with product and leadership to shape roadmap.
• Own large, ambiguous problem spaces end-to-end.
• Work across backend, frontend, and ML systems.

Skills

JavaScript/TypeScript

SQL

Leadership

ML systems knowledge

Problem solving

Education

Bachelor's degree in a relevant field

Tools

AWS

Azure

GCP

Kubernetes

Job description

United States Digital Space LLC is seeking a highly experienced L6 Staff Fullstack Engineer & Architect to drive architectural overhaul across CB teams and to guide long-term tech evolution. The role spans backend, frontend, and ML systems with direct collaboration to shape roadmaps and priorities.

You will deploy into critical, fast-moving product initiatives, mentor engineers, and lead scalable, robust platforms integrated with LLMs and foundation models.