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Internship Ai Infrastructure Engineer Jobs in Romeoville, IL

IMC

Data Engineer - Infrastructure

Chicago, IL · On-site

$110K - $145K/yr

We are hiring an Engineer to join our Data Engineering Infrastructure team, where you will help ... Comfort working with AI-assisted development tools such as Claude (e.g., "vibecoding") in an ...

New

PGTEK

HPC Infrastructure Engineer - Travel role

Chicago, IL · On-site

$90K - $100K/yr

Infrastructure / High-Performance Computing (HPC) Support Engineer We are seeking an Infrastructure ... Experience supporting High-Performance Computing (HPC), AI, GPU, or clustered compute environments

IMC

Data Engineer - Infrastructure

Chicago, IL · On-site

$175K - $225K/yr

We are hiring an Engineer to join our Data Engineering Infrastructure team, where you will help ... Comfort working with AI-assisted development tools such as Claude (e.g., "vibecoding") in an ...

ESPO Corporation

Be Seen First

Utility Infrastructure Engineer / Junior Engineer - 24-00652

Oak Brook, IL · On-site

$40 - $43/hr

Utility Infrastructure Engineer / Civil or Electrical Junior Engineer Civil Engineer or Electrical ... Experience/ Knowledge in roadway design preferred Internship or 1-3 years of experience. Experience ...

New

F2Onsite

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Infrastructure & Cloud Systems Engineer - Chicago, IL - Hybrid

Chicago, IL · On-site

$60 - $65/hr

Infrastructure & Cloud Systems Engineer - Chicago, IL Duration: 6-Month with potential Contract-to ... Familiarity with HPE Aruba networking technologies and HPE InfoSight or comparable AI operations ...

DRW

AI Engineer

Chicago, IL · On-site

$175K - $300K/yr

As an AI Engineer at DRW, you will be an integral member of a collaborative multi-asset trading ... In this role, you will build critical infrastructure and tooling that leverages AI and ML ...

Fitch Solutions

AI Engineer

Chicago, IL

$57 - $73.50/hr

Build robust production infrastructure - Develop enterprise-scale APIs (FastAPI) for deployment ... AI initiatives, contribute technical insights to design discussions, apply engineering best ...

Fitch Group

AI Engineer

Chicago, IL · On-site

$57 - $73.50/hr

Build robust production infrastructure - Develop enterprise-scale APIs (FastAPI) for deployment ... AI initiatives, contribute technical insights to design discussions, apply engineering best ...

Deloitte

Senior AI Engineer - SFL Scientific

Chicago, IL

$107K - $147K/yr

Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns * Define and lead technology proof of concepts to ensure feasibility of new data and cloud ...

West Monroe

Director, Data Engineering & AI

Chicago, IL · On-site

Stay current on evolving technologies across AI infrastructure, data engineering, cloud ecosystems ... and intelligent data applications What you will bring: * 10+ years participating in team-based ...

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Showing results 21-40

All JobsAi Infrastructure Engineer JobsInternship Ai Infrastructure Engineer JobsInternship Ai Infrastructure Engineer Jobs in Romeoville, IL

Internship Ai Infrastructure Engineer information

See Romeoville, IL salary details

$11

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How much do internship ai infrastructure engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for internship ai infrastructure engineer in Romeoville, IL is $19.69, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $21.35 per hour, depending on experience, location, and employer.

What is the difference between Internship Ai Infrastructure Engineer vs Data Engineer?

AspectInternship Ai Infrastructure EngineerData Engineer
Required CredentialsEnrolled in or recent graduate of Computer Science, Engineering, or related fields; some knowledge of AI and infrastructure toolsBachelor's or higher in Computer Science, Data Science, or related; experience with databases and data pipelines
Work EnvironmentInternship setting, collaborative teams, learning-focusedFull-time, technical teams managing data systems and pipelines
Employer & Industry UsageTech companies, AI startups, research labsTech firms, finance, healthcare, and other data-driven industries

The Internship Ai Infrastructure Engineer role focuses on supporting AI infrastructure projects during an internship, emphasizing learning and assisting with AI systems setup. In contrast, Data Engineers build and maintain data pipelines and infrastructure for data analysis. While both roles require knowledge of technical tools, the internship role is more entry-level and learning-oriented, whereas Data Engineers are more experienced and responsible for ongoing data management.

What does an internship AI infrastructure engineer do?

An Internship AI Infrastructure Engineer assists in designing, developing, and maintaining the foundational systems that support artificial intelligence (AI) applications. They work with cloud platforms, data pipelines, and scalable computing resources to ensure that AI models can be trained and deployed efficiently. Interns may help automate workflows, optimize performance, and collaborate with data scientists and software engineers. The role provides hands-on experience with the tools and frameworks commonly used in AI engineering environments.

What are the key skills and qualifications needed to thrive as an internship AI infrastructure engineer, and why are they important?

To thrive as an Internship AI Infrastructure Engineer, you need a solid understanding of computer science fundamentals, programming (especially in Python or C++), and basic knowledge of machine learning frameworks, often supported by ongoing studies in a relevant field. Familiarity with cloud platforms (like AWS, GCP, or Azure), version control systems (such as Git), and containerization tools (Docker, Kubernetes) is typically expected. Strong problem-solving abilities, curiosity, teamwork, and effective communication help interns stand out and integrate quickly into engineering teams. These skills are crucial for supporting scalable AI solutions, collaborating on complex projects, and contributing meaningfully in a fast-evolving technical environment.

What types of projects and responsibilities can an internship AI infrastructure engineer expect to work on?

As an AI Infrastructure Engineer intern, you can expect to be involved in projects that support the development, deployment, and scaling of AI models. Typical responsibilities may include optimizing data pipelines, maintaining and improving cloud or on-premise computing resources, and collaborating closely with data scientists to ensure efficient model training and inference. Interns often get hands-on experience with tools such as Docker, Kubernetes, and various cloud platforms, and work in cross-functional teams to troubleshoot and enhance AI workflows. This role provides a solid foundation in both software engineering and AI operations, preparing you for advanced positions in the field.
What job categories do people searching Internship Ai Infrastructure Engineer jobs in Romeoville, IL look for? The top searched job categories for Internship Ai Infrastructure Engineer jobs in Romeoville, IL are:
What cities near Romeoville, IL are hiring for Internship Ai Infrastructure Engineer jobs? Cities near Romeoville, IL with the most Internship Ai Infrastructure Engineer job openings:
Internship Ai Infrastructure Engineer jobs near you

Data Engineer - Infrastructure

IMC

Chicago, IL • On-site

$110K - $145K/yr

Full-time

Posted 3 days ago

New

Job description

We are hiring an Engineer to join our Data Engineering Infrastructure team, where you will help build and scale the storage and data platforms that power our HFT business. This is a hands-on role for someone who enjoys working close to the bare metal systems. Operating large-scale open-source storage, enterprise storage, tuning Linux systems for performance, automating infrastructure. As our data footprint grows, you will play a key part in keeping our infrastructure fast, reliable, and ready to scale.

Core Responsibilities:

  • Design, deploy, and operate large-scale data storage infrastructure, including Hadoop, enterprise storage and S3-compatible platforms
  • Tune Linux systems for I/O throughput and overall performance
  • Automate configuration and deployment using Ansible, Puppet or other automation platform
  • Build observability into the platform with Prometheus and related tooling
  • Partner with engineering teams to deliver reliable, well-architected data solutions with a focus on Storage and Kafka
  • Familiarity with Kubernetes

Skills & Experience:

  • 5+ years of experience in systems engineering with a strong focus on data storage
  • Strong Linux fundamentals, debugging skills, including performance tuning for I/O throughput
  • Hands-on experience with Ansible and Puppet for configuration management and automation
  • Familiarity with open-source, S3 API compliant, and enterprise storage technologies
  • Working knowledge of the Hadoop ecosystem, including YARN
  • Experience in Java and Python
  • Comfort working with AI-assisted development tools such as Claude (e.g., "vibecoding") in an enterprise setting
  • Experience with Prometheus-based monitoring and alerting

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