AI Lab Infrastructure Engineer (AI)

TL;DR

AI Lab Infrastructure Engineer (AI): Architecting and building a virtual access layer for a high-performance physical AI lab with an accent on scalability, security, and efficient remote processing of large-scale document datasets. Focus on optimizing LLM token throughput, implementing robust cloud infrastructure, and ensuring high availability for mission-critical AI workloads.

Location: Must be based in the United States

Company

hirify.global is a global consulting firm that combines academic expertise with real-world business experience to address complex challenges in economics, finance, and performance improvement.

What you will do

• Design and implement a virtual access layer for the physical AI Lab infrastructure.
• Build scalable remote processing capabilities to support 100,000+ documents daily.
• Create customizable interfaces for various business units to leverage AI computational power.
• Optimize infrastructure for maximum LLM token throughput using OpenAI and Anthropic models.
• Implement secure authentication and access management systems.
• Ensure high availability and fault tolerance for mission-critical AI workloads.

Requirements

• Must be based in the United States
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 6-8 years of hands-on experience in designing and managing scalable cloud infrastructure.
• Strong proficiency in Infrastructure as Code (IaC) tools like Terraform or CDK.
• Experience with AWS services including EC2, Lambda, SageMaker, S3, and containerization (ECS/EKS/Fargate).
• Proven ability to manage projects and deliver high-quality, replicable solutions.
• Proficiency in Python, .NET, or Java, along with CI/CD practices and API design.

Nice to have

• Experience with LLM deployment and optimization.
• Background in building AI/ML infrastructure and platforms.
• Knowledge of virtual desktop infrastructure (VDI) or remote access solutions.
• AWS certifications (Solutions Architect, Machine Learning).

Culture & Benefits

• Opportunity to work with top-tier professionals, industry experts, and data scientists.
• Focus on interdisciplinary collaboration and innovative problem-solving.
• Commitment to diversity and equal opportunity employment.
• Exposure to complex, high-impact global projects.