Cloud AI & Research Infra Engineer

University of Chicago; Chicago (IL); Hybrid; USD 95,000 - 110,000; Full time

Job summary

The University Of Chicago is seeking a candidate to work at the intersection of development, research, and operations. You will design and build AI-powered tools, deploy and operate research infrastructure like Chameleon, and support users while collaborating with scientists across a national network.

You will contribute to evolving cloud and AI solutions, engage in user studies, and help extend open source platforms. The role emphasizes collaboration, innovation, and rigorous technical work.

Qualifications

• Bachelor's degree in computer science or a closely related field.
• 2–5 years of work experience in a related discipline.
• Experience with Linux/Unix environments and version control.

Responsibilities

• Develop AI-based conversational assistant for cloud testbeds with planning and provisioning agents.
• Build and operate research infrastructure (e.g., Chameleon) using state-of-the-art tech like AI agent frameworks and LLM tooling.
• Collaborate with researchers nationally and publish findings in academic venues.

Skills

Python programming

Unix/Linux familiarity

Git version control

Open source contributions

Education

Bachelor's degree in computer science or related field

Tools

OpenStack

Docker

Jupyter notebook environments

Job description

The University Of Chicago is seeking a candidate to work at the intersection of development, research, and operations. You will design and build AI-powered tools, deploy and operate research infrastructure like Chameleon, and support users while collaborating with scientists across a national network.

You will contribute to evolving cloud and AI solutions, engage in user studies, and help extend open source platforms. The role emphasizes collaboration, innovation, and rigorous technical work.