Member of Technical Staff, Fullstack Engineer

Liquid AI

full-time

Posted on: 9/12/2025

Origin: • 🇺🇸 United States • California

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Lead

Cloud

About the role

Architect and implement full-stack solutions for internal platforms and customer-facing products
Design and scale backend services that enable robust ML model deployment
Build deployment infrastructure that runs seamlessly across cloud and on-premise environments
Develop interfaces that make complex ML systems accessible and usable
Establish workflows that accelerate ML research-to-deployment cycles
Collaborate closely with Product and ML teams to iterate quickly and effectively
Contribute to shaping model architectures, scaling dev platforms, and enterprise deployments

Thrive on building systems from the ground up, not just maintaining them
Understand that good infrastructure is the difference between theoretical and practical ML
Balance pragmatism and ambition—know when to push for scale and when to ship
Excited by the challenge of turning complex ML capabilities into intuitive products
Proven track record of architecting and scaling systems from scratch
Deep understanding of modern software architecture and best practices
Experience deploying ML-powered systems in real-world production environments
Strong opinions about engineering practices—backed by hard-earned lessons
Ability to decide when to build vs. when to leverage existing tools