Instructional Staff - AI Engineer

Carnegie-Mellon-University; Pittsburgh (Allegheny County); On-site; USD 34,000 - 55,000; Part time

Job summary

Carnegie Mellon University in Pittsburgh, PA seeks a graduate of the AIM program or an AI-focused CMU program to transform Python-based assignments into AI system workflows and LLM agent tasks for courses. The role supports curriculum development and delivery for AIM core courses and related MISM courses, focusing on building scalable AI engineering workflows and evaluation methods.

The ideal candidate will contribute to building workflows, testing translations, and documenting decisions, while

Qualifications

• Graduate of the AIM program or an AI-focused CMU program.
• Proficiency in Python and LLM system engineering.
• Experience with virtual machines and computing environments (Linux, AWS, GCP).
• Ability to communicate with students and present materials regularly.
• Experience designing LLM evaluations and working with LLM APIs.
• Ability to work independently with faculty supervision.

Responsibilities

• Manage software, data and AI model compliance with applicable policies.
• Establish and maintain shared compute resources for AI model work.
• Develop course assignments to teach Generative AI model development and operations.
• Translate Python-based assignments into LLM Agent equivalents.
• Collaborate with faculty to align assignments with course objectives.
• Maintain documentation of decisions and code structure.
• Assist in testing and validating translated assignments for correctness.

Skills

Python programming

LLM system engineering

Distributed AI concepts

LLM evaluations

Independent work

Communication with students

Education

AIM program graduate

Tools

Linux

AWS

GCP

Virtual machines

LLM APIs

Docker/Podman

Job description

Location

Pittsburgh, PA

Open Date

Aug 10, 2026

Description

Position Title: Instructional Staff - AI Engineer
Location: Heinz College, Carnegie Mellon University
Start Date: August 24, 2026 (Fall Semester)
Position Type: Part-Time, Temporary
Reports To: Faculty Supervisor(s)
Student-Facing: Yes

Position Summary

Heinz College at Carnegie Mellon University is seeking a graduate of the Master of Artificial Intelligence Systems Management (AIM) or an AI-related CMU program to assist in creating AI systems or workflows for assignments originally designed for Python developers into equivalent assignments for AI systems or LLM agent workflows. This role supports curriculum development and delivery for these courses, which include core courses in the AIM program and a related MISM course: 95-820 NL(X) and LLMs, 94-844 Generative AI Lab, 95-864 AI Model Development, and 94-879 Fundamentals of Operationalizing AI.

Key Responsibilities

• Manage software, data and AI model compliance, including understanding university, local, state and federal policies to ensure course content, computing environments, computer resources, data, information and course delivery meets university, local, state and federal rules.
• Establish, develop and maintain shared compute resources, such as virtual machines or local hosts, for implementing and evaluating Generative AI models.
• Develop course assignments and activities to teach Generative AI model development, evaluation, operationalization, and standard industry practices for AI engineering.
• Translate existing Python programming assignments into LLM Agent or 'Agentic AI' equivalents.
• Collaborate with a supervising professor to align assignments with course objectives.
• Maintain clear documentation of decisions and code structure.
• Assist in testing and validating translated assignments for correctness and usability.

Additional Information

• This is a student-facing, full-time temporary role focused on backend curriculum support.
• The position is ideal for someone looking to contribute to academic development while gaining experience in educational technology and instructional design.
• This is an AI-engineering focused position, supporting AI courses at Heinz College, Carnegie Mellon University. The position is ideal for someone who enjoys building systems, workflows or APIs for large language model (LLM) systems.

Qualifications

Required Qualifications

• Graduate of the AIM program at Heinz College, Carnegie Mellon University.
• Willingness to present or communicate with students on a regular basis.
• Proficiency in Python programming language and LLM System Engineering.
• Experience establishing virtual machine and compute environments (Linux, AWS, GCP).
• Strong understanding of distributed AI system concepts and infrastructure.
• Experience with designing and conducting LLM evaluations and working with LLM APIs.
• Ability to work independently and communicate effectively with faculty supervisor(s).
• Ability to conduct worth with integrity and ethics and work professionally with students.

Preferred Qualifications

• Experience with educational content development or curriculum support.
• Experience with version control systems (e.g., Git).
• Experience working with containers (Docker, Podman, Apple Containers).
• Attention to detail and commitment to producing high-quality instructional materials.

Carnegie Mellon Universityis an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.