AI Intern

About the role

The AI IT Intern assists with the design, development, and deployment of enterprise-grade artificial intelligence solutions, focusing on Generative AI, Retrieval-Augmented Generation (RAG), and agentic AI workflows. This role provides hands-on experience with applied AI development, backend API development, cloud deployment, and enterprise data integration.

Responsibilities

• Aid in the design, development, testing, and deployment of AI-powered applications for enterprise use cases, including Generative AI solutions.
• Implement LLM-based and agentic AI workflows using LangChain, LangGraph, and related design patterns.
• Develop, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, parsing, extraction, indexing, and retrieval.
• Build and maintain backend APIs and services using Python.
• Integrate AI applications with enterprise data platforms and systems, including Cosmos DB, SQL Server, and internal applications.
• Contribute to prompt engineering, evaluation, and response-quality improvement initiatives.
• Support cloud deployment, monitoring, and performance optimization of AI applications in Azure environments.
• Participate in continuous integration (CI)/continuous delivery (CD) pipelines, version control, and release processes using Azure DevOps.
• Collaborate with cross-functional teams to troubleshoot issues, improve performance, and enhance system scalability.
• Document architectures, workflows, technical decisions, and implementation details to support maintainability and knowledge sharing.
• Follow established security, compliance, and development standards and apply emerging AI and software engineering best practices.

Qualifications

• Must be a current enrolled student or recent graduate in a computer science, AI, IT, or related technical program with a minimum GPA of 3.0.
• Strong interest in applied AI and software development within an enterprise environment.
• Strong foundation in Python programming, gained through coursework, projects, internships, and/or self-study.
• Basic understanding of backend development and APIs, including how services communicate and exchange data.
• Foundational knowledge of Generative AI concepts, including large language models (LLMs) and prompt engineering.
• Exposure to databases, including relational databases and/or NoSQL databases.
• Interest in cloud-native development and AI system deployment, preferably within Microsoft Azure or a comparable platform.
• Basic exposure to development workflows, such as version control and CI/CD concepts.
• Strong analytical, communication, and problem-solving skills, with the ability to collaborate effectively in a team environment.
• Demonstrated willingness to learn and adapt to new technologies and best practices.

Benefits

• Medical, dental, and vision insurance
• Life, travel, and disability insurance
• A flexible spending account
• 401K plans
• A pension plan
• Paid holidays and vacation
• Financial assistance programs for adoption or further education
• A comprehensive wellness program
• An Employee Assistance Program

Pay

$19.00-23.00 per hour