Remote MLOps Engineer - Scale AI Inference Platforms

Bright Vision Technologies; Plymouth (MN); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an accomplished MLOps Engineer for a 100% remote role in the U.S. You will design, build, and operate high-performance inference platforms for serving large machine learning models in production, focusing on latency, throughput, and reliability.

The ideal candidate has strong distributed systems experience, hands-on work with LLM inference frameworks, Kubernetes, and cloud platforms, plus a proven track record in observability, performance tuning, and

Qualifications

• Bachelor’s or Master’s degree in CS or a related field.
• 6+ years in distributed systems, infrastructure, or ML platform engineering.
• Strong Python and system language (Go, Rust, or C++) skills.
• Experience operating high-throughput, low-latency services in production.
• Hands-on with LLM or large-model inference frameworks (vLLM, TensorRT-LLM).
• Familiar with Kubernetes, autoscaling, and cloud platforms.
• Experience with observability stacks and performance engineering.
• 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, attention, speculative decoding, and request multiplexing.
• Implement multi-tenant routing, rate limiting, and quality-of-service policies across model endpoints.
• Build autoscaling and capacity management systems that balance latency, throughput, and cost.
• Tune GPU utilization, memory management, and KV cache strategies for LLM serving workloads.
• Integrate model serving with API gateways, identity systems, and observability platforms.
• Implement caching, prompt deduplication, and response reuse strategies where appropriate.
• Drive end-to-end observability including latency histograms, queue dynamics, GPU utilization, and error tracking.
• Develop deployment workflows including canary releases, shadow testing, and automated rollback.
• Operate incident response for high-availability AI services and drive durable reliability improvements.
• Collaborate with ML and product teams to support new model releases and capability rollouts.
• Implement security controls including request signing, content filtering, and abuse detection at the serving layer.
• Document operational procedures, performance characteristics, and tuning guidance for internal teams.
• Stay current with AI serving research and translate advances into production capabilities.

Skills

Distributed systems

Python

System languages (Go/Rust/C++)

Performance engineering

Observability

Incident response & communication

Education

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

Tools

Kubernetes

LLM inference frameworks (vLLM, TensorRT-LLM)

Go

Rust

C++

Python

Job description

Bright Vision Technologies is seeking an accomplished MLOps Engineer for a 100% remote role in the U.S. You will design, build, and operate high-performance inference platforms for serving large machine learning models in production, focusing on latency, throughput, and reliability.

The ideal candidate has strong distributed systems experience, hands-on work with LLM inference frameworks, Kubernetes, and cloud platforms, plus a proven track record in observability, performance tuning, and