Inference Platform Engineer — Production-Scale AI

Designworks Talent; Bellevue (WA); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid holidays

Job summary

Designworks Talent is seeking an Inference Engineer to join our hybrid Bellevue-based team building production-grade model-serving systems for next-generation AI applications. You will optimize token throughput and latency, design scalable infrastructure, and partner with AI training and platform teams to move models from research to reliable production.

You'll own complex problems around GPU utilization, performance tuning, and reliability at scale, contribute to architecture decisions, and

Responsibilities

• 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.
• Improve the scalability and operational maturity of inference platforms as customer demand grows.
• Partner with AI training, GPU performance, orchestration, and infrastructure teams to ensure smooth transitions from model development to production serving.
• Develop monitoring, alerting, and operational practices to maintain reliable inference services.
• Investigate and resolve performance, reliability, and capacity challenges across inference workloads.
• Contribute to architecture decisions and engineering standards as the platform evolves.

Job description

Designworks Talent is seeking an Inference Engineer to join our hybrid Bellevue-based team building production-grade model-serving systems for next-generation AI applications. You will optimize token throughput and latency, design scalable infrastructure, and partner with AI training and platform teams to move models from research to reliable production.

You'll own complex problems around GPU utilization, performance tuning, and reliability at scale, contribute to architecture decisions, and