AI Engineering Intern: Build & Deploy AI Pipelines

Crowe LLP; United States; On-site; USD 37,000 - 58,000; Full time

Job summary

Crowe LLP invites applicants for an AI Engineering Intern position. The role focuses on designing, developing, testing, and deploying AI solutions under close supervision.

You will work with senior engineers to build foundational skills in coding standards, version control, and cloud-native workflows while contributing to real AI projects. The position emphasizes learning, mentorship, and growth into an entry-level engineering role, with exposure to model development, data prep, and evaluation

Qualifications

• Pursuing a degree in CS, Engineering, Data Science, or related field.
• Working knowledge of Python and data structures.
• Familiarity with AI/ML concepts from coursework or projects.
• Ability to communicate technical ideas clearly and collaborate within a team.
• Exposure to cloud platforms such as AWS, Azure, or Google Cloud, with Docker and Kubernetes.
• Introductory understanding of CI/CD practices and distributed computing.
• Curiosity-driven learning with responsiveness to coaching.
• Grounding in generative AI frameworks such as PyTorch, TensorFlow, or Hugging Face.
• Awareness of LLM concepts, including RAG workflows and vector databases.

Responsibilities

• Support the development of AI models and prototypes through data preparation, scripting, and experimentation.
• Assist in implementing components of AI pipelines, including preprocessing, model training, and testing workflows.
• Participate in code reviews and supervised engineering tasks to learn best practices.
• Contribute to documentation of prototypes, experiments, and engineering processes.
• Execute test cases and validation procedures to verify model performance and reliability.
• Analyze datasets to extract insights and generate features under guidance.
• Learn cloud-based tools, containerization, and orchestration concepts relevant to AI deployment.
• Collaborate with team members to solve technical problems and complete scoped tasks.
• Follow established coding, security, and compliance guidelines.
• Explore emerging AI technologies and frameworks to build foundational understanding.

Skills

Python

Cloud platforms

CI/CD

Generative AI

LLM concepts

Team collaboration

Communication

PyTorch

TensorFlow

Hugging Face

Education

CS/Engineering/Data Science degree in progress

Tools

Docker

Kubernetes

Git

Job description

Crowe LLP invites applicants for an AI Engineering Intern position. The role focuses on designing, developing, testing, and deploying AI solutions under close supervision.

You will work with senior engineers to build foundational skills in coding standards, version control, and cloud-native workflows while contributing to real AI projects. The position emphasizes learning, mentorship, and growth into an entry-level engineering role, with exposure to model development, data prep, and evaluation