AI Systems and Solutions Engineering Intern (AI)

TL;DR

AI Systems and Solutions Engineering Intern (AI): Supporting the design and development of integrated AI solutions combining software, hardware awareness, and system-level concepts with an accent on the technology stack from models to platform considerations. Focus on prototyping, testing, and validating AI systems and contributing to hirify.global's AI technology roadmap.

Location: Hybrid in Guadalajara, Mexico

Company

hirify.global (Data Center Group) focuses on delivering Xeon-based and custom x86-based solutions for general-purpose compute, web services, HPC, and AI-accelerated systems.

What you will do

• Assist in developing and integrating AI software solutions within larger system architectures.
• Analyze system-level requirements, constraints, and performance considerations.
• Prototype, test, and validate AI systems and components.
• Collaborate across software, hardware, and platform engineering teams.
• Participate in documentation, technical reviews, and knowledge sharing.

Requirements

• Enrollment in a Bachelor's degree program in Computer Science, Engineering, or a related discipline.
• Basic understanding of AI or machine learning concepts through coursework or projects.
• Familiarity with at least one programming language such as Python or C++.
• English: Mid to Advanced level required.
• Must be able to provide Mexican identification (NSS, RFC, CURP).

Nice to have

• Coursework or academic projects related to AI, machine learning, or deep learning.
• Exposure to systems concepts, computer architecture, or operating systems.
• Experience with Linux environments, version control (Git), or basic scripting.
• Interest in autonomous systems or AI platforms.

Culture & Benefits

• Hybrid work model allowing a split between on-site and off-site work.
• Hands-on exposure to real-world AI implementation challenges and customer use cases.
• Mentorship and guidance from experienced engineers.
• Opportunity to grow technical and professional skills within cross-functional teams.