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7 AI Software Engineer CV Templates with Example

By Ria · Last Updated On 23 October 2026
CV example — page 1

This guide shows you how to create an AI Software Engineer CV that presents your technical work and business impact clearly. You will learn how to organise your evidence and choose a format that supports quick, confident review.

A strong CV for this role connects software delivery with practical AI work. Make your contribution clear through examples of back-end and full-stack development, AI features delivered in live products, and the safeguards that support reliable software.

Compare the example presented in 7 layouts through their PNG image previews, then open a preferred version in the editor to customise it. The guide also covers ATS-friendly structure and role-specific terms such as C#/.NET, modern JavaScript, SQL Server, PostgreSQL, large language models, prompt design and AI evaluation.

What Makes a Great AI Software Engineer CV in 2026

A strong CV makes software delivery, AI integration and production safeguards easy to find. Use concise bullets to show your role, the work delivered and its value to users or the business.

Include relevant terms such as C#/.NET, JavaScript, SQL Server, PostgreSQL, large language models, prompt design and AI evaluation. Add measurable results only when you can support them.

Note: CV examples are for educational purposes only. Use only information that accurately reflects your experience and qualifications. References to real organisations do not imply affiliation or endorsement.

#1 Simple One Column Format CV Example

A single text column gives the CV a direct reading path through its sections.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Reviewers can follow career progression without moving between parallel content areas.
  • Experience bullets retain a steady sequence for achievements, education and credentials.
  • One-column reading keeps skills and supporting sections within the same review path.

Best For

  • Straight-through section review
  • Text-led CV submissions
  • Chronological work histories
  • Detailed experience records
  • Several supporting sections

CV Keywords

  • Deliver C#/.NET back-end
  • Full-stack development
  • modern JavaScript interfaces
  • SQL Server
  • large language model capabilities shipped in live software
  • 11 years of commercial experience building business critical ERP and SaaS products
  • testing output quality and failure scenarios before staged release; added sensible fallbacks so core business processes remained usable when AI services were unavailable
  • Prompt design
  • Context management
  • structured outputs
  • AI evaluation
  • error handling
  • logging
  • monitoring
  • added sensible fallbacks so core business processes remained usable when AI services were unavailable
See all keywords
 

#2 Simple Two Column Format CV Example

Two text columns offer a compact way to group CV information while preserving distinct reading areas.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Distinct content areas help reviewers separate experience from supporting CV sections.
  • Parallel organisation can keep skills and education visible without interrupting career history.
  • Grouped sections suit CVs with varied content that benefits from clear separation.

Best For

  • Grouped section reading
  • Separate career and skills content
  • Compact information display
  • Multi-part professional histories
  • Readers comparing CV sections

#3 Plain One Column with Shaded Labels CV Example

A single-column structure keeps the CV on one reading track, suited to straightforward section-by-section review.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • A continuous text path helps reviewers trace roles and dates through career history.
  • Skills, education and credentials remain within the same review sequence.
  • Experience entries retain a clear place in the broader career record.

Best For

  • Single-track career records
  • Consistent section progression
  • Sequential experience entries
  • Text-heavy professional histories
  • Readers preferring linear review
 

#4 One Column Format with Photo Right CV Example

The one-column body pairs a photo with a direct text sequence for readers who want both.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • One text column lets reviewers follow experience and supporting sections in a clear order.
  • Photo inclusion offers a visual identifier without dividing the written CV content.
  • Career history, skills and education remain in a single reading sequence.

Best For

  • Photo-inclusive CV applications
  • Linear career review
  • Visual identification with text
  • Single-column section sequence
  • Photo-preferred document presentation
 

#5 Clean Two Column Sidebar Format CV Example

Two columns give the CV distinct reading areas, useful when several sections need clear separation.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Separate content areas make experience and supporting information easier to distinguish.
  • Reviewers can locate skills and credentials without losing the wider career sequence.
  • Grouped sections help keep education visible within a multi-part CV.

Best For

  • Distinct experience and supporting sections
  • Multi-section career records
  • Quick access to credentials
  • Grouped education and skills
  • Readers scanning varied information
 
 

#6 Two Column Format CV Example

A two-column body sets out CV information in parallel areas for readers who prefer grouped content.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Parallel sections let reviewers compare career history with other CV information at a glance.
  • Clear grouping can bring education and skills into view without lengthening the main reading path.
  • Experience details remain distinct from credentials and other supporting content.

Best For

  • Parallel information review
  • CVs with varied section types
  • Career histories with supporting details
  • Readers comparing key sections
  • Grouped professional records
 

#7 Photo Header Two Column Format CV Example

A photo and two-column body combine visual identification with grouped CV content.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Two-column organisation separates experience from supporting sections for a clear review.
  • The photo provides a visual identifier while leaving text areas for career details.
  • Grouped content helps reviewers locate education and credentials across the CV.

Best For

  • Photo-inclusive applications
  • Grouped career information
  • Two-column section review
  • Visual identification alongside text
  • CVs with multiple supporting sections
 
 
 

Why Build Your AI Software Engineer CV with ResumeInMinutes

ResumeInMinutes helps you organise technical skills, experience and education in a clear CV. Compare PNG image previews, then open an example in the editor to customise its content and layout.

  • Clear CV layouts
  • Readable section structure
  • Space for role-specific keywords
  • Organised skills and experience
  • PNG image previews
  • CV customisation in the editor

Choose the format that makes your technical evidence easiest to follow. Keep the focus on shipped software, AI integration, production reliability and clear results.

 

See Also

 

Frequently Asked Questions

Are these AI Software Engineer CV templates ATS-friendly?

The examples use clear headings and sections that are easy to scan. Include relevant terms naturally, such as C#/.NET, modern JavaScript, SQL Server, PostgreSQL, large language models and production safeguards.

Are these separate CV examples or different layouts of one example?

This page shows one role-focused CV example in different layouts. Compare the PNG image previews, then open an example in the editor to customise it.

What should an AI Software Engineer CV include?

Include a focused summary, relevant experience, technical skills, education and certifications. Show how you have delivered software, integrated AI capabilities, tested model outputs and supported reliable services.

Which CV layout works well for an AI Software Engineer?

Choose a layout with clear headings and an easy-to-follow order for experience, skills and education. A straightforward structure helps recruiters and applicant tracking systems find key details.

How can I show AI engineering achievements on my CV?

Use concise bullets to explain the feature, your contribution and the result. Where relevant, describe prompt and context design, output evaluation, fallback behaviour, monitoring or the release of a working AI feature into a live product.

Should I include a photo on my CV?

For UK applications, a photo is usually not needed. Use the space for relevant experience, technical skills and measurable results instead.

ATS Score 96%

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 CV is used. This is not a match to a specific vacancy.
  • Text-based CV: 20%. The text CV assessed here receives 100 for this part.
  • CV quality: 20%. We start at 100 and subtract points for issues found by our CV checks, down to a minimum of zero.
  • Keyword coverage = round(100 × confirmed matches ÷ total keywords). Exact matches and supported equivalents verified by AI receive full credit; unsupported keywords receive none. Live text checks use the saved equivalents and do not request a new AI review. Without keywords, no overall ATS score is available.
  • 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 CV 20% · CV quality 20%

Keyword coverage: 27 of 29 (93%) · CV quality: 100%

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

Details
  • ✓Name present: Owen Wood
  • ✓Email format: owen.wood@example.com
  • ✓Phone format: 07700 90XXXX
  • ✓Experience 1: Job title: Senior Software Engineer
  • ✓Experience 1: Company name: Meridian Wholesale Software
  • ✓Experience 1: Work location: Sheffield, South Yorkshire
  • ✓Experience 1: Employment dates: May 2022 - Present
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Software Engineer
  • ✓Experience 2: Company name: Redwood Business Systems
  • ✓Experience 2: Work location: Leeds, West Yorkshire
  • ✓Experience 2: Employment dates: Jan 2019 - Apr 2022
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Software Developer
  • ✓Experience 3: Company name: Pennine Digital Works
  • ✓Experience 3: Work location: Bradford, West Yorkshire
  • ✓Experience 3: Employment dates: Jul 2017 - Dec 2018
  • ✓Experience 3: Description or achievements: Present
  • ✓Experience 4: Job title: Junior Software Developer
  • ✓Experience 4: Company name: Cedar Applications
  • ✓Experience 4: Work location: Huddersfield, West Yorkshire
  • ✓Experience 4: Employment dates: Jul 2015 - Jun 2017
  • ✓Experience 4: Description or achievements: Present
  • ✓No placeholder fields
  • ✓No repeated achievement bullets
  • ✓No empty bullets

No issues found by the current checks.

Text Based CV 100% · Weight 20%

Parsed text
Owen Wood
07700 90XXXX
owen.wood@example.com
owenwood
Sheffield, South Yorkshire, S10 3GX
SUMMARY
Senior AI Software Engineer with 11 years of commercial experience building business critical ERP and SaaS products. Deliver C#/.NET back-end and full stack features, including large language model capabilities shipped in live software. Shape prompts and context, evaluate structured outputs and apply production safeguards across Azure services and established systems. Partner with product managers and subject matter experts to turn trade requirements into maintainable software.
EXPERIENCE
Senior Software Engineer
May 2022 - Present
Meridian Wholesale Software
Sheffield, South Yorkshire
Delivered C#/.NET features for a live ERP and SaaS platform used by wholesale and distribution businesses, taking work from product discovery through release and support.
In 2024, introduced a large language model feature into an established product workflow, developing prompts, supplying relevant context and returning structured outputs for user review.
Established evaluation cases for the model-assisted workflow, testing output quality and failure scenarios before staged release; added sensible fallbacks so core business processes remained usable when AI services were unavailable.
Built supporting services across SQL Server and PostgreSQL, with production-grade error handling, logging and monitoring to help engineers diagnose issues in live customer environments.
Worked with product managers and subject matter experts to translate trade-specific requirements into clear technical designs, using prototypes to test assumptions before hardening selected approaches.
Used Azure services and existing delivery pipelines to release product changes safely; applied GitHub Copilot and, from 2025, Cursor to accelerate implementation while retaining code review and testing standards.
Software Engineer
Jan 2019 - Apr 2022
Redwood Business Systems
Leeds, West Yorkshire
Extended a long-lived order and inventory platform with C#/.NET services and modern JavaScript interfaces, releasing features used by customer support and commercial operations.
Added PostgreSQL-backed reporting alongside existing SQL Server functions, documenting data behaviour and validating changes against established application patterns.
Helped modernise selected application components through incremental refactoring and automated checks, reducing release risk without disrupting existing customer workflows.
Deployed application components to AWS and improved operational logging, giving the support team clearer diagnostic information when integrations or scheduled processes failed.
Software Developer
Jul 2017 - Dec 2018
Pennine Digital Works
Bradford, West Yorkshire
Built customer-facing functions for a multi-tenant business software product using C#/.NET and JavaScript, converting product specifications into tested, maintainable changes.
Improved SQL Server queries and data validation for order-processing screens, helping users resolve incomplete records before submission.
Added error handling and release notes to new integrations, making changes easier for support colleagues to troubleshoot and explain to customers.
Junior Software Developer
Jul 2015 - Jun 2017
Cedar Applications
Huddersfield, West Yorkshire
Implemented small C#/.NET enhancements for a business applications team, following existing code conventions and contributing reviewed changes to regular releases.
Created JavaScript interface updates and SQL Server queries for customer account and stock functions, checking behaviour with developers and business users.
Wrote test notes and technical documentation for new features, building a sound foundation in production support and structured software delivery.
LEADERSHIP, AWARDS & RECOGNITION
Peer mentor for graduate and junior developers at Meridian Wholesale Software, supporting code-review practice and product onboarding.
Recognised by the Redwood Business Systems product team in 2021 for clear cross-functional delivery during an order-management release.
EDUCATION
BSc (Hons) Computer Science
2015
University of Huddersfield
Huddersfield, West Yorkshire
CERTIFICATIONS
Microsoft Certified: Azure Developer Associate
2021
Microsoft Certified: Azure AI Engineer Associate
2025
TECHNICAL SKILLS
Programming Languages: C#, JavaScript, SQL
Microsoft Frameworks: .NET, ASP.NET Core, Entity Framework Core
Relational Databases: SQL Server, PostgreSQL, SQLite
Cloud Platforms: Microsoft Azure, AWS, Google Cloud Platform
Azure Services: Azure App Service, Azure Functions, Azure Monitor
AWS Services: Amazon EC2, Amazon S3, Amazon CloudWatch
Web Technologies: HTML5, CSS3, React
Testing Tools: xUnit, NUnit, Jest
Development Tools: Visual Studio, Visual Studio Code, Git
AI Development Tools: GitHub Copilot, Cursor, Azure AI Foundry
SKILLS
C#/.NET
AI software engineering
Full-stack development
Modern JavaScript
SQL Server
PostgreSQL
ERP and SaaS
Azure
AWS
Large language models
Prompt design
Context management
Structured outputs
AI evaluation
GitHub Copilot
PROFESSIONAL AFFILIATIONS
Member, British Computer Society, engaging with a professional community focused on computing practice and continuing development.
Member, .NET Foundation community, participating in an organised professional community for .NET developers.

Matched keywords (27)

  • Deliver C#/.NET back-endOriginal keyword in JD: C#/.NET back-end development
  • Full-stack development
  • modern JavaScript interfacesOriginal keyword in JD: Modern JavaScript front-end development
  • SQL ServerOriginal keyword in JD: SQL Server OR PostgreSQL
  • large language model capabilities shipped in live softwareOriginal keyword in JD: AI integration in live products
  • 11 years of commercial experience building business critical ERP and SaaS productsOriginal keyword in JD: Commercial software development
  • testing output quality and failure scenarios before staged release; added sensible fallbacks so core business processes remained usable when AI services were unavailableOriginal keyword in JD: Production-ready software
  • large language model capabilities shipped in live softwareOriginal keyword in JD: Large language model integration
  • Prompt design
  • Context management
  • structured outputs
  • AI evaluation
  • error handling
  • logging
  • monitoring
  • added sensible fallbacks so core business processes remained usable when AI services were unavailableOriginal keyword in JD: Fallback behaviour
  • AzureOriginal keyword in JD: Azure OR AWS OR GCP
  • CursorOriginal keyword in JD: AI coding tools: GitHub Copilot OR Cursor
  • apply production safeguards across Azure services and established systemsOriginal keyword in JD: Established software systems
  • modernise selected application components through incremental refactoring and automated checksOriginal keyword in JD: Software modernisation
  • validating changes against established application patternsOriginal keyword in JD: Existing code patterns
  • delivery pipelines
  • using prototypes to test assumptionsOriginal keyword in JD: Prototyping
  • product discovery
  • translate trade-specific requirements into clear technical designsOriginal keyword in JD: Technical solution design
  • Worked with product managersOriginal keyword in JD: Product manager collaboration
  • Worked with product managers and subject matter expertsOriginal keyword in JD: Subject matter expert collaboration

Missing keywords (2)

  • Technical trade-off judgement
  • Requirements gathering
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.

CV 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 organisation.

Content Accuracy and Verification: To the fullest extent permitted by applicable law, we do not represent or warrant that CV 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 CV 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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