Senior ML Model Serving Engineer - Remote

Bright Vision Technologies; United States; Remote; 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 serving large ML models in production. The role focuses on systems engineering for AI deployment, including routing, batching, caching, autoscaling, and observability.

Ideal candidates have strong distributed systems experience, ship serving systems at scale, and understand latency/throughput/cost trade-offs.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Seven+ 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 serving large ML models.
• Focus on the systems engineering side of AI deployment, including request routing, batching, caching, autoscaling, GPU utilization, and observability.
• Optimize trade-offs between latency, throughput, and cost in production serving environments.
• Collaborate with cross-functional teams to ship serving systems at scale.

Skills

Distributed systems

Python

Go/Rust/C++

High-throughput/low-latency

LLM inference frameworks (vLLM/TensorR

Education

Bachelor’s or Master’s in CS or related field

Tools

Kubernetes

TensorRT-LLM

vLLM

Job description

Bright Vision Technologies is seeking a Model Serving Engineer to design, build, and operate high-performance inference platforms for serving large ML models in production. The role focuses on systems engineering for AI deployment, including routing, batching, caching, autoscaling, and observability.

Ideal candidates have strong distributed systems experience, ship serving systems at scale, and understand latency/throughput/cost trade-offs.