Senior MLOps Engineer for Scalable AI Serving (Remote)

Bright Vision Technologies; Redmond (WA); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an MLOps Engineer to design, build, and operate high-performance inference platforms for production ML models. You will focus on the systems engineering aspects of AI deployment, including routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads.

The ideal candidate has strong distributed systems and performance engineering experience, has shipped serving systems at scale, and can balance latency,

Qualifications

• 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++.
• 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 and operate model serving platforms supporting diverse workloads including LLMs, vision models, and recommendation systems.
• Optimize inference performance using batching, paging, and caching strategies.
• Implement multi-tenant routing, rate limiting, and quality-of-service policies across model endpoints.
• Build autoscaling and capacity management systems balancing latency, throughput, and cost.
• Tune GPU utilization and memory management for large-scale serving workloads.
• Integrate model serving with API gateways, identity systems, and observability platforms.
• Develop deployment workflows including canary releases, shadow testing, and automated rollback.
• Operate incident response for high-availability AI services and drive reliability improvements.

Skills

Python

Go

Rust

C++

Distributed systems

Kubernetes

vLLM

TensorRT-LLM

GPU architecture

Observability

Incident response

Cloud platforms

Education

Bachelor's or Master's in Computer Science

Job description

Bright Vision Technologies is seeking an MLOps Engineer to design, build, and operate high-performance inference platforms for production ML models. You will focus on the systems engineering aspects of AI deployment, including routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads.

The ideal candidate has strong distributed systems and performance engineering experience, has shipped serving systems at scale, and can balance latency,