Member of Technical Staff, Fullstack Engineer
Liquid AI
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteJob Level
Lead
Tech Stack
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
Requirements
- 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