ML Systems Engineer (AI)

Location: 100% remote within the United States

Salary: $145,000–$165,000 annually

Company

Cloud, AI, data, and enterprise technology consulting and software development services are delivered across the United States.

What you will do

• Design, build, and operate high-performance inference platforms for large machine learning models in production.
• Develop request routing, batching, caching, and autoscaling capabilities for diverse model workloads.
• Optimize GPU utilization, latency, throughput, cost, and serving quality.
• Implement end-to-end observability through metrics, tracing, and structured logging.
• Support reliable, high-throughput, low-latency services and participate in incident response.

Requirements

• Bachelor’s or Master’s degree in Computer Science or a related field.
• 6+ 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++.
• Experience operating high-throughput, low-latency production services and using LLM or large-model inference frameworks such as vLLM or TensorRT-LLM.
• Strong understanding of GPU architecture, memory hierarchies, accelerator utilization, performance engineering, and capacity planning.
• Familiarity with Kubernetes, autoscaling, modern cloud platforms, observability stacks, communication, and incident response.

Nice to have

• 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.

Culture & Benefits

• Full-time direct W-2 employment.
• Career growth opportunities within an established technology consulting and software development organization.
• Applicants must be eligible to work in the United States.
• New H-1B visa petitions cannot be sponsored; U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply.