Staff Inference Engineer

Location: Hybrid | Bellevue, WA (downtown)Titles: Senior and Staff (multiple roles available)

Build the Inference Platform Powering Next-Generation AI Applications

About the Opportunity

A well-funded, rapidly growing AI infrastructure company is building a next-generation cloud platform designed to power the full lifecycle of artificial intelligence. The organization is developing a comprehensive AI infrastructure, platform, and services portfolio that supports the full spectrum of AI workloads—including large-scale compute, model training, fine-tuning, inference, and emerging agentic AI applications.

Backed by significant long-term investment, the company combines the speed, ownership, and innovation of a startup with the stability and resources of an established parent organization. Engineering teams are intentionally lean, highly collaborative, and AI-native, leveraging modern tooling and automation to build infrastructure capable of supporting the industry's most demanding AI workloads.

We're seeking Inference Engineers to build and operate the model-serving systems behind a next-generation AI inference platform. This team focuses on delivering high-throughput, low-latency, reliable inference experiences that enable customers to consume advanced AI capabilities through production-scale APIs.

 

The Opportunity

This is a foundational engineering role focused on building the systems that bring AI models from research environments into reliable production services. You'll work on the infrastructure layer responsible for serving large models efficiently, optimizing performance, and ensuring reliability as usage scales.

You'll collaborate closely with GPU performance, AI training infrastructure, platform engineering, and operations teams to solve complex challenges around model serving, latency optimization, resource efficiency, and production reliability.

This opportunity is ideal for engineers who enjoy working at the intersection of distributed systems, machine learning infrastructure, GPU computing, and large-scale production systems.

  

What You'll Do

• Build and operate production-grade model-serving and inference systems supporting high-throughput, low-latency AI workloads.

• Optimize inference infrastructure for token throughput, latency, scalability, and cost efficiency across different model architectures and workloads.

• Design systems that maximize GPU utilization while maintaining predictable performance and reliability.