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Software Engineering Intern-AI/Emerging Technology

TekShapersNashville, TN🇺🇸United StatesPosted Oct 5, 2026

Quick Overview

Seniority
Entry Level
Work mode
Hybrid
Location
Nashville, TN, United States
Posted
5 days ago
Machine LearningPython

Job Description

Employment type – Full Time

Job Title –  Software Engineering Intern-AI/Emerging Technology

Job Location –   Princeton, NJ

Duration –   6+ months

Experience level –  3+

Mandatory Skills –  Software Engineering Intern-AI/Emerging Technology

Job Description –

We are looking for a motivated Computer Science intern to join our team and contribute to AI-focused projects. This is a hands-on opportunity to work alongside experienced engineers, gain exposure to realworld applications of artificial intelligence, and build practical skills in a fast-paced environment.

Responsibilities

• Assist in the design, development, and testing of AI-driven features and applications

• Collaborate with engineering and product teams on ongoing projects

• Research and evaluate emerging AI tools, frameworks, and best practices

• Support data preparation, model experimentation, and documentation

• Participate in code reviews and team stand-ups

Requirements

• Currently pursuing or recently completed a degree in Computer Science or a closely related field

• Completion of, or active enrollment in, an AI/Machine Learning certification program (e.g.,

coursework or certificate in AI, ML, or Data Science)

• Strong foundation in programming fundamentals, data structures, and algorithms

• Familiarity with at least one modern programming language (Python preferred)

• Strong problem-solving skills and eagerness to learn

Preferred Qualifications

• Enrollment at a top-tier computer science program 

• Prior exposure to AI/ML projects, coursework, or research

• Availability to work out of our Princeton office

Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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