San Francisco · Hybrid
A well-funded AI infrastructure company is building next-generation multimodal foundation models and a high-efficiency serving platform. With deep industry backing and close collaboration with hardware partners, the team is scaling rapidly to deliver the full stack powering real-time AI applications and developer-facing platforms.
This role focuses on building the developer-facing surfaces of a large-scale AI platform. You will design and implement fast, intuitive interfaces that allow users to interact with large language models, manage usage, and integrate APIs seamlessly into their own products.
You’ll collaborate closely with ML researchers and systems engineers, gain exposure to how large AI models are deployed and served at scale, and play a key role in delivering an excellent developer experience (DX). This role is ideal for engineers who enjoy fullstack ownership, care deeply about performance and UX, and want exposure to the full AI stack.
We are an equal opportunity employer and value diversity at our company. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected characteristic.
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Posted 8 months ago
San Francisco
A well-funded AI infrastructure company is building next-generation multimodal foundation models and a high-efficiency serving platform. With deep industry backing and close collaboration with hardware partners, the team is scaling rapidly to deliver the full stack powering real-time, production-grade AI applications.
This role is with a rapidly growing, venture-backed AI software company building an intelligent operating layer for complex, integration-heavy enterprises. The platform helps organizations plan, deploy, and optimize their teams through advanced analytics, automation, and AI-driven workflows. The company works in real-world, security-constrained environments—including hybrid, on-prem, and restricted systems—and is focused on shipping durable, production-grade enterprise software.
Overview This role is with a well-funded AI infrastructure company building next-generation multimodal models and a high-performance model serving platform. The team is scaling rapidly to deliver production-grade systems that power real-time AI applications, working closely across research, systems, and infrastructure. About the Role This is a rare opportunity to help architect and lead the development of a next-generation model serving platform—the core engine that brings highly efficient multimodal foundation models into production. As a senior technical leader, you will both build critical components yourself and guide other engineers, shaping architectural decisions, engineering standards, and execution quality. You’ll work across the full AI stack, from GPU execution and optimized runtimes to distributed serving, scheduling, and APIs that power low-latency, real-time inference. This role is ideal for engineers who enjoy deep systems work, thrive on ownership, and want to lead the development of foundational AI infrastructure. Equal Opportunity This employer is an equal opportunity organization. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. Compensation: $230K–$300K base + equity
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