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7 Intern, AI Software Engineering Resume Templates with Example

By Ria · Last Updated On September 29, 2026
Resume Example Page 1

This practical guide shows you how to create an Intern, AI Software Engineering resume that is clear, focused, and easy to scan. You will learn how to organize strong evidence and compare professional resume formats.

A strong resume for this role should connect software projects with the skills employers request. Useful evidence can include Python, TypeScript, React, Node, Generative AI, LLMs, prompt engineering, Azure AI Services, automated testing, Git, CI/CD, system design, and industrial automation exposure when those details are true for you.

Below, one complete Intern, AI Software Engineering resume example appears in 7 ATS-friendly resume layouts. Compare the reading order, section structure, and visual emphasis, then choose a format that makes your education, projects, experience, skills, and credentials easy to review.

What Makes a Great Intern, AI Software Engineering Resume in 2026

A strong resume is clear, evidence-based, and easy to scan. It should show relevant project work, technical skills, education, testing habits, and practical software delivery experience without overstating your level.

Match truthful evidence to role keywords such as Python, TypeScript, Generative AI, LLMs, Azure AI Services, test automation, Git, CI/CD, system design, and industrial automation. Use concise bullets that explain what you built, tested, improved, documented, or presented.

The examples shown below are intentionally detailed to demonstrate a range of experiences, skills, accomplishments and relevant keywords. We prefer detailed resumes as they provide more context to the hiring managers and also help the ATS systems identify relevant qualifications and score your resume better for a match. But the length of a resume is an individual choice. If you want a one page resume, just keep the most relevant experience and information for the job. Note: Resume examples are for educational purposes only. Use only information that accurately reflects your experience and qualifications. References to real organizations do not imply affiliation or endorsement.

#1 Simple One Column Format Resume Example

The Simple One Column Format gives recruiters a direct top-to-bottom path through resume sections, making scanning clear and predictable.

 
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Why This Format Works

  • Linear reading order keeps experience and project evidence easy to follow.
  • Full-width sections give technical skills and education clear room without side content.
  • Simple section breaks help recruiters move from qualifications to supporting credentials quickly.

Best For

  • Straightforward ATS-focused applications
  • Project-heavy student resumes
  • Readers who prefer linear scanning
  • Detailed education and skills sections
  • Clear separation of experience and credentials

Resume Keywords

  • AI software engineering
  • Madison, WI
  • Services
  • integration
  • system design
  • agile methodology
  • test driven development
  • Test automation
  • configuration management
  • Bachelor's Degree
  • Computer Science
  • software engineering
  • Python
  • JavaScript
  • TypeScript
See all keywords
 

#2 Plain One Column with Shaded Labels Resume Example

Plain One Column with Shaded Labels uses clear section markers to help recruiters locate major resume categories during a fast review.

 
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Why This Format Works

  • Shaded labels separate experience, skills, education, and credentials without changing reading order.
  • One-column flow keeps project evidence connected to the sections that explain it.
  • Visible section markers make longer technical content easier to revisit during review.

Best For

  • Resumes with several defined sections
  • Reviewers who scan by section name
  • Content needing stronger visual boundaries
  • Students balancing projects and education
  • Applications with detailed supporting credentials
 

#3 One Column Format with Photo Right Resume Example

One Column Format with Photo Right keeps the resume body linear while a right-side header photo adds a personal visual element.

 
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Why This Format Works

  • Single-column body preserves a clear sequence for experience, projects, skills, and education.
  • Header photo stays separate from the resume sections that carry qualification evidence.
  • Consistent body width gives achievements and supporting credentials an uncomplicated reading path.

Best For

  • Markets where resume photos are customary
  • Applications needing a linear body
  • Profiles with balanced project and experience detail
  • Readers who value simple content order
  • Resumes with a distinct personal header
 

#4 Clean Two Column Sidebar Format Resume Example

The Clean Two Column Sidebar Format lets recruiters scan core resume content beside compact supporting details without losing section separation.

 
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Why This Format Works

  • Two-column structure separates core experience from compact skills and credential details.
  • Sidebar organization helps supporting qualifications stay visible beside the main career evidence.
  • Distinct content zones reduce searching when recruiters compare education, projects, and achievements.

Best For

  • Resumes with compact supporting details
  • Skills that need quick visual access
  • Content benefiting from parallel organization
  • Applications balancing projects with credentials
  • Readers comparing main and secondary sections
 
 

#5 Two Column Format Resume Example

The Two Column Format divides information into parallel areas so recruiters can compare major resume sections with less vertical searching.

 
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Why This Format Works

  • Parallel columns give experience and supporting sections separate visual space for review.
  • Shorter content blocks make skills, education, and credentials easier to compare at a glance.
  • Balanced section grouping helps project evidence stand apart from broader qualification details.

Best For

  • Information that fits compact content blocks
  • Applications with many supporting sections
  • Readers comparing qualifications quickly
  • Resumes balancing experience and project work
  • Technical profiles with broad skill coverage
 

#6 Photo Header Two Column Format Resume Example

Photo Header Two Column Format combines a photo-led header with parallel body sections, helping recruiters scan grouped resume information efficiently.

 
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Why This Format Works

  • Two-column body separates experience evidence from supporting skills, education, and credentials.
  • Photo header identifies the person without interrupting the body section structure.
  • Grouped content areas help recruiters move between projects, achievements, and qualifications efficiently.

Best For

  • Regions where professional photos are expected
  • Resumes needing compact two-column grouping
  • Profiles with several supporting sections
  • Applications mixing projects and practical experience
  • Readers who compare grouped qualifications
 

#7 Simple Two Column Format Resume Example

The Simple Two Column Format uses a restrained split layout so recruiters can review main evidence and supporting sections in parallel.

 
Resume Example Page 1   Resume Example Page 2

Why This Format Works

  • Simple columns keep experience prominent while supporting sections remain easy to locate.
  • Compact grouping gives education and skills dedicated space beside broader project evidence.
  • Clear separation helps recruiters distinguish achievements from credentials during quick comparison.

Best For

  • Clean layouts with moderate information volume
  • Resumes needing visible section separation
  • Project work paired with concise credentials
  • Readers who prefer side-by-side scanning
  • Applications needing compact skills organization
 
 

Why Build Your Intern, AI Software Engineering Resume with ResumeInMinutes

ResumeInMinutes helps you turn coursework, supervised projects, technical tools, and practical results into a resume with clear sections and concise evidence.

  • ATS-friendly section structure
  • Keyword-focused resume content
  • Project and skills organization
  • Experience bullet guidance
  • Free PDF resume previews
  • Resume customization support

You can adjust the resume to show the strongest truthful match for Intern, AI Software Engineering work, including software projects, AI-enabled development, testing, cloud-native delivery, and industrial automation exposure.

 

See Also

 

Frequently Asked Questions

Are these Intern, AI Software Engineering resume templates ATS-friendly?

Yes. The formats use clear resume sections and readable headings that support ATS parsing. Your results still depend on truthful keyword use, clean content, and the employer's specific system.

Are these different resumes?

No. This guide shows the same Intern, AI Software Engineering resume content in different visual formats so you can compare structure and presentation.

What should an Intern, AI Software Engineering resume include?

Include a focused summary, education, relevant project or work experience, technical skills, testing and delivery practices, certifications when useful, and clear bullets that show what you built or improved.

Which keywords can be useful for this resume?

Use only keywords that match your real background. Relevant examples can include Python, TypeScript, React, Node, Generative AI, LLMs, prompt engineering, Azure AI Services, Git, CI/CD, test automation, system design, and industrial automation.

Can I download the resume templates as PDFs?

Yes. Each resume style provides a free PDF download so you can preview the format and compare how your resume content is presented.

Which resume style works well for an Intern, AI Software Engineering application?

Choose a format with clear section order and enough space for education, projects, experience, and technical skills. One-column layouts offer a direct reading path, while well-organized two-column layouts can separate supporting details from the main experience content.

Can a student with limited professional experience still build a strong resume?

Yes. Use supervised projects, coursework, student labs, campus activities, and technical demonstrations to show relevant skills. Be clear about the academic setting and describe your actual contribution.

Should I include a photo on my resume?

For U.S. applications, a no-photo resume is generally the safer choice. In other countries, follow local hiring customs and the employer's expectations.

Can I customize these resume templates?

Yes. You can adjust the resume text, format, and design so the final version reflects your own education, projects, skills, credentials, and verified experience.

ATS score 75%

How we calculate this score

  • Keywords: 60% of the total. AI extracts keywords from your job description. If you do not provide one, a standard job description for the title matching your resume is used. This is not a match to a specific vacancy.
  • Text-based resume: 20%. The text resume assessed here receives 100 for this part.
  • Resume quality: 20%. We start at 100 and subtract points for issues found by our resume checks, down to a minimum of zero.
  • Keyword coverage = 100 × (confirmed matches + 0.8 × possible matches) ÷ total keywords, rounded and capped at 100. Possible matches still need checking. Saved generation audits use their saved keyword percentage.
  • Final score = 60% of keyword coverage + 20% of the text score + 20% of the quality score, rounded to a whole number. Without keywords, no overall ATS score is available.

What this score means

Our scores are estimates, not employer ratings. They may contain errors and do not guarantee accurate parsing, a ranking, an interview, or a job. Check your document against the employer’s requirements. You are responsible for relying on this score.

Terms and Conditions

Score weights: Keywords 60% · Text based resume 20% · Resume quality 20%

Live keyword match: 34 of 58 (59%) · Resume quality: 100%

Resume quality 100% · Weight 20% · Issues (0)

Details
  • ✓Name present: Elias Wilson
  • ✓Email format: elias.wilson@example.com
  • ✓Phone format: (608) 555-2746
  • ✓Experience 1: Job title: AI Software Engineering Project Contributor
  • ✓Experience 1: Company name: University Project
  • ✓Experience 1: Employment dates: January 2026 - Present
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Industrial Automation Software Project Contributor
  • ✓Experience 2: Company name: Student Innovation Lab
  • ✓Experience 2: Employment dates: September 2025 - December 2025
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Cloud Native Software Delivery Project Contributor
  • ✓Experience 3: Company name: Course Project
  • ✓Experience 3: Employment dates: January 2025 - May 2025
  • ✓Experience 3: Description or achievements: Present
  • ✓No placeholder fields
  • ✓No repeated achievement bullets
  • ✓No empty bullets

No issues found by the current checks.

Text Based Resume 100% · Weight 20%

Parsed text
Elias Wilson
(608) 555-2746
elias.wilson@example.com
linkedin.com/example/eliaswilson
Madison, WI 53703
SUMMARY
Computer Science student preparing for AI software engineering work through supervised projects involving enterprise software, industrial automation, and engineering workflows. Built AI enabled prototypes with Python, LLM prompting, Azure AI Services, automated testing, and structured evaluation. Developed React and TypeScript interfaces, Node services, containerized Python applications, and Git based delivery workflows. Applied agile methodology, test driven development, system design, configuration management, code review, and CI/CD checks across team projects. Explored generative AI, AI agents, prompt engineering, GitHub Copilot, Microsoft Copilot, cloud native applications, PLC concepts, and manufacturing software. Expected to graduate in May 2028 and available for a full time summer 2027 internship. Brings curiosity, careful evaluation, and collaborative project habits that can support reliable AI software development.
EDUCATION
Bachelor's Degree in Computer Science
University of Wisconsin Madison
GPA: 0
2028
Madison, WI
Coursework: Software design, artificial intelligence, agile methodology, automated testing
TECHNICAL SKILLS
Programming Languages: Python, TypeScript, JavaScript
Web Frameworks: React, Angular, Node
Artificial Intelligence: Generative AI, LLMs, AI agents
Azure AI Services: Azure AI Services, Azure AI Fundamentals, Microsoft Copilot
Development Assistants: GitHub Copilot, Microsoft Copilot, prompt engineering
Source Control: Git, GitHub, pull requests
Testing Tools: Automated testing, unit testing, integration testing
Delivery Practices: CI/CD, build automation, release validation
Software Methods: Agile methodology, test driven development, software life cycle
Cloud Applications: Cloud native technologies, containerization, configuration management
Industrial Software: Industrial automation, PLC concepts, manufacturing technology
Engineering Design: System design, service integration, API testing
SKILLS
Python
TypeScript
React
Node
LLMs
AI agents
Prompt engineering
Azure AI Services
GitHub Copilot
Microsoft Copilot
Agile methodology
Test driven development
Test automation
System design
CI/CD
EXPERIENCE
AI Software Engineering Project Contributor
University Project
January 2026 - Present
Madison, WI
Supported a supervised university project focused on AI assisted code review for classroom applications. Contributed across design, implementation, testing, evaluation, documentation, and presentation within a four student team.
Built Python code review prototype with LLM prompts and Azure AI Services for quality checks
Created structured service responses that grouped findings into consistent categories for instructor evaluation
Added automated tests for prompt inputs, response parsing, and service behavior across edge cases
Managed Git pull requests and CI/CD checks within a reproducible four student team workflow
Compared prototype findings with review cases and refined prompts after missed quality criteria
Presented architecture, limitations, test results, and responsible use considerations to course audiences
Industrial Automation Software Project Contributor
Student Innovation Lab
September 2025 - December 2025
Madison, WI
Contributed to a supervised industrial automation lab project connecting a React and TypeScript dashboard with a Node service. Supported interface development, event handling, testing, documentation, agile planning, and faculty reviews.
Developed React and TypeScript dashboard displaying simulated equipment states and alerts from PLC data
Connected Node service that normalized simulated machine events for reliable dashboard display and testing
Wrote unit and integration tests for event handling, status rendering, and service responses
Documented system design, configuration steps, test cases, and known limitations for reproducibility
Used agile planning to divide requirements into short increments reviewed with a faculty mentor
Demonstrated prototype and captured peer feedback about usability, event clarity, and automation features
Cloud Native Software Delivery Project Contributor
Course Project
January 2025 - May 2025
Madison, WI
Built a supervised course project focused on repeatable cloud native delivery for a containerized Python service. Practiced configuration management, automated validation, documentation, and software development life cycle communication.
Created containerized Python service supporting repeatable configuration for modern software delivery coursework
Established Git workflow with automated build and test steps before proposed changes reached merge
Used GitHub Copilot under instructor guidance while reviewing suggestions against course requirements
Added automated API tests and configuration checks that caught invalid inputs and deployment errors
Maintained build instructions, dependency documentation, and release notes for clean environment recreation
Delivered demonstration explaining software life cycle, build pipeline, testing approach, and implementation tradeoffs
PROJECTS
AI Assisted Quality Review Prototype
2026
Created a supervised prototype using Python, LLM prompting, and Azure AI Services to examine software quality and security findings. Structured outputs, automated tests, evaluation cases, and responsible use discussion made results easier to review.
PLC Equipment Monitoring Dashboard
2025
Built a React and TypeScript interface with a Node service for simulated industrial equipment events. Testing, documentation, and peer feedback shaped clearer status displays and practical automation ideas.
LEADERSHIP & AWARDS
Dean's List recognition, University of Wisconsin Madison, 2025
Undergraduate Project Showcase Honorable Mention, 2026
Peer Mentor, Computer Science Learning Center, 2026 to Present
CERTIFICATIONS
Microsoft Learn Azure AI Fundamentals Learning Path
2026
Coursera Generative AI for Software Development
2026
PROFESSIONAL AFFILIATIONS
Student Software Builders Group member since 2025
Computer Science Learning Center peer mentor since 2026
LANGUAGES
English (Native)
Spanish (Intermediate)
ADDITIONAL INFORMATION
Work Status
: Authorized to work in United States. No sponsorship required.
REFERENCES
AVAILABLE ON REQUEST

Matched keywords (34)

  • AI software engineering
  • Madison, WI
  • Services
  • integration
  • system design
  • agile methodology
  • test driven development
  • Test automation
  • configuration management
  • Bachelor's Degree
  • Computer Science
  • software engineering
  • Python
  • JavaScript
  • TypeScript
  • Node
  • generative AI
  • LLM
  • AI agents
  • prompt engineering
  • Angular
  • React
  • GitHub Copilot
  • Microsoft Copilot
  • Azure AI Services
  • Cloud native technologies
  • Industrial Automation Software
  • manufacturing technology
  • LLM prompting
  • Git
  • CI/CD
  • automated testing
  • agile
  • cloud native applications

Missing keywords (24)

  • full time internship
  • June through August 2027
  • hybrid
  • United States work authorization
  • software applications
  • modern software engineering
  • full software development life cycle
  • build management
  • production oriented project work
  • AI technologies
  • enterprise industrial automation
  • continuous innovation
  • C++
  • C#
  • Java
  • Kotlin
  • Go
  • machine learning
  • CI/CD pipelines
  • DevOps tooling
  • test automation frameworks
  • PLC development
  • DevOps
  • build and configuration management
Disclaimer: All names, images, contact information, employment histories, achievements, security clearances, military credentials, and other qualifications shown in this content are fictional and used for illustrative purposes only. Any resemblance to actual persons, living or deceased, is purely coincidental.

Resume and cover-letter examples and recommendations in this article reflect general best practices and professional experience and are provided for guidance only. Results may vary based on role, industry, region, and hiring organization.

Content Accuracy and Verification: To the fullest extent permitted by applicable law, we do not represent or warrant that resume or cover-letter guidance, examples, recommendations, or related information are accurate, complete, current, error-free, or suitable for any particular purpose. You are responsible for independently reviewing and verifying the information before relying on it.

ATS and Cover-Letter Scores: ATS scores are estimates calculated using our own formula, informed by publicly available guidance on resume formatting and keyword matching. They are not scores issued or endorsed by an ATS provider or employer. Cover-letter scores are also our own assessments. Parsing, weighting, screening criteria, and results vary between systems, employers, job descriptions, and document formats. No score guarantees successful parsing, a particular ranking, an interview, or employment. Use scores as general guidance and independently check your documents against the employer’s requirements. To the fullest extent permitted by applicable law, we accept no liability for errors in scores or parsing, or losses arising from reliance on these assessments. Nothing in this notice excludes liability or limits consumer rights that cannot lawfully be excluded or limited.

Terms and Conditions
 
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