AI Infrastructure Engineer (AI)

Location: Must be based in or able to work from California (Hybrid)

Company

hirify.global is a technology company focused on high-performance storage and infrastructure solutions for AI and data-intensive workloads.

What you will do

• Build and optimize LLM serving and inference systems for production environments.
• Improve performance across GPU and CPU pathways.
• Address bottlenecks in KV cache, memory, storage, and throughput.
• Design and scale systems supporting RAG and retrieval-heavy AI workloads.
• Contribute to infrastructure where storage architecture and systems efficiency impact AI performance.

Requirements

• Must be based in California for hybrid work.
• Proven experience building or optimizing production AI systems.
• Deep understanding of inference performance, including compute, memory, and storage interactions.
• Hands-on experience working at the systems layer (GPU/CPU resource tuning, latency reduction).
• Demonstrated ownership in model serving, retrieval, caching, or distributed performance.
• Ability to bridge high-level architectural decisions with low-level implementation.

Culture & Benefits

• Opportunity to work on the core mechanics of AI performance and infrastructure.
• Focus on solving deep technical bottlenecks rather than surface-level AI features.
• Environment centered on performance, scale, and complex systems architecture.