Remote Model Serving Engineer: Scalable AI Inference

Socket.dev; Ann Arbor (MI); On-site; USD 74,000 - 98,000; Full time

Job summary

Bright Vision Technologies is seeking a Model Serving Engineer to design, build, and operate high-performance inference platforms for production machine learning models. This role focuses on the systems engineering side of AI deployment, including request routing, batching, caching, autoscaling, GPU utilization and end-to-end observability across diverse model workloads.

The ideal candidate brings strong distributed systems and performance engineering expertise, has shipped serving systems at

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Six or more years of experience in distributed systems, infrastructure, or ML platform engineering.
• Strong proficiency in Python and a systems language such as Go, Rust or C++.
• Deep experience operating high-throughput, low-latency services in production.
• Hands-on experience with LLM or large model inference frameworks such as vLLM or TensorRT-LLM.
• Strong understanding of GPU architecture, memory hierarchies and accelerator utilization.
• Familiarity with Kubernetes, autoscaling and modern cloud platforms.
• Experience with observability stacks including metrics, tracing and structured logging.
• Solid grounding in performance engineering and capacity planning.
• Strong communication and incident response skills.

Responsibilities

• Design, build, and operate high-performance inference platforms for production ML models.
• Focus on systems engineering for AI deployment, including routing, batching, caching, and autoscaling.
• Optimize GPU utilization and ensure end-to-end observability across diverse model workloads.
• Collaborate across teams to balance latency, throughput, and cost in serving systems.

Skills

Distributed systems

Python

Go

Rust

C++

Low-latency systems

ML serving

LLM frameworks

GPU acceleration

Kubernetes

Autoscaling

Cloud platforms

Observability

Performance engineering

Capacity planning

Incident response

Communication

Education

Bachelor's or Master’s in Computer Science or related field

Tools

vLLM

TensorRT-LLM

Job description

Bright Vision Technologies is seeking a Model Serving Engineer to design, build, and operate high-performance inference platforms for production machine learning models. This role focuses on the systems engineering side of AI deployment, including request routing, batching, caching, autoscaling, GPU utilization and end-to-end observability across diverse model workloads.

The ideal candidate brings strong distributed systems and performance engineering expertise, has shipped serving systems at