Data Platform Engineer (AI)

Location: 100% remote within the United States

Salary: $100,000–$150,000 annually

Company

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

What you will do

• Design, build, and operate reliable, high-performance inference platforms for large machine learning models in production.
• Develop systems for request routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability.
• Operate high-throughput, low-latency services and optimize trade-offs between latency, throughput, cost, and quality.
• Support diverse model workloads and external-facing AI APIs at scale.
• Collaborate on incident response, capacity planning, and performance engineering.

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++.
• Hands-on experience with LLM or large-model inference frameworks such as vLLM or TensorRT-LLM.
• Strong understanding of GPU architecture, memory hierarchies, accelerator utilization, Kubernetes, autoscaling, cloud platforms, and observability stacks.
• Applicants must be authorized to work in the United States as U.S. Citizens, Green Card Holders, EAD Holders, or H-1B transfer candidates; new H-1B visa petitions cannot be sponsored.

Nice to have

• Open-source contributions to model-serving infrastructure.
• Experience with multi-region or globally distributed AI serving.
• Knowledge of model quantization, distillation, compression, FinOps, or cost-efficient AI serving.

Culture & Benefits

• Full-time direct W2 employment.
• Established organization with career growth opportunities.
• Remote work within the United States.
• Equal employment opportunity and anti-harassment commitment.