Model Serving Engineer

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 large machine learning models in production. The role emphasizes the systems engineering side of AI deployment, including routing, batching, caching, autoscaling, GPU utilization, and observability.

The ideal candidate brings 7+ years in distributed systems or ML platform engineering, strong Python and Go/Rust/C++, and hands-on experience with LLM frameworks such

Qualifications

• Degree in CS or related field.
• 7+ years in distributed systems or ML platform engineering.
• Proficiency in Python and a systems language (Go/Rust/C++).
• Experience running high-throughput, low-latency services in production.
• Hands-on with LLM inference frameworks such as vLLM or TensorRT-LLM.
• Strong knowledge of GPUs, memory hierarchies, and accelerators.
• Familiarity with Kubernetes and cloud platforms.
• Experience with observability stacks (metrics, tracing, logging).
• Strong communication and incident response skills.

Responsibilities

• Design, build, and operate inference platforms for ML models.
• Optimize request routing, batching, caching, autoscaling, GPU utilization.
• Ensure end-to-end observability across model workloads.
• Collaborate to balance latency, throughput, and cost.
• Maintain production reliability and respond to incidents.

Skills

Distributed systems

Python

Go/Rust/C++

High-throughput/low-latency

LLM inference frameworks

GPU architectures

Kubernetes & cloud

Observability

Performance engineering

Incident response

Education

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

Tools

Kubernetes

Cloud platforms

LLM inference frameworks (vLLM/TensorRT-LLM)

Auto-scaling

Job description

Model Serving Engineer – Remote

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: Model Serving Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $74,000–$98,000 Annually
Experience Required: 7+ years

Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary We are seeking a Model Serving Engineer to design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production. The 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 scale, and understands the trade-offs between latency, throughput, cost, and quality in ML serving.

Required 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.

Preferred Qualifications

• Open-source contributions to model serving infrastructure.


• Experience with multi-region or globally distributed AI serving.


• Familiarity with model quantization, distillation, and compression techniques.


• Exposure to FinOps for AI workloads and cost-efficient serving design.


• Experience supporting external-facing AI APIs at scale.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees’ ability to perform their job duties may result in disciplinary action up to and including termination of employment.