MLOps 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 and operate model-serving platforms for LLMs, vision models, and recommendation systems.
• Optimize inference performance through continuous batching, paged attention, speculative decoding, request multiplexing, caching, and prompt deduplication.
• Build multi-tenant routing, rate limiting, quality-of-service, autoscaling, and capacity-management systems.
• Tune GPU utilization, memory management, and KV-cache strategies for large-model serving workloads.
• Develop deployment workflows with canary releases, shadow testing, automated rollback, and end-to-end observability.
• Operate incident response for high-availability AI services and collaborate with ML and product teams on model releases, security controls, and reliability improvements.

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 Python proficiency and experience with a systems language such as Go, Rust, or C++.
• Experience operating high-throughput, low-latency production services and using LLM 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, 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.
• Knowledge of model quantization, distillation, compression, or FinOps for AI workloads.
• 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.
• Work on cloud, AI, data, and enterprise solutions.

Hiring process

• Submit a resume for consideration.
• Applicants must be U.S. citizens, Green Card holders, EAD holders, or H-1B transfer candidates; new H-1B visa petitions cannot be sponsored.