AI
UK
US English

7 Software Engineer - Python and AI Solutions CV Templates with Example

By Ria · Last Updated On 19 October 2026
View in Editor
Generate a Free CV Like This
CV example — page 1
Generate a Free CV Like ThisView This CV in EditorView in Editor

This guide shows you how to create a Software Engineer - Python and AI Solutions CV that is clear, focused and easy to review. You will learn how to organise your evidence and choose a format that supports your experience and skills.

For this role, make Python engineering and practical AI delivery easy to find. Show how you build, test, deploy and support software, and explain how you apply security and data protection in your work.

Compare the example presented in 7 layouts using the PNG image previews, then open a chosen version in the editor to customise it. The guide also covers ATS readability and relevant terms such as Python, Django, FastAPI, machine learning, generative AI and LLM services.

What Makes a Great Software Engineer - Python and AI Solutions CV in 2026

A strong CV puts relevant engineering work, technical skills and results where readers can find them quickly. Use clear sections and concise bullets to show how you build and support dependable software.

Include tools and terms that match your evidence, such as Python, FastAPI, Django, pytest, machine learning and LLM services. 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-column layout gives the CV a clear top-to-bottom reading order, making its sections easy to follow.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • Career history can follow a clear sequence from earlier roles to recent work.
  • Skills and tools can be reviewed without navigating between columns.
  • Education and certifications fit into the same straightforward reading order.

Best For

  • Top-to-bottom reading preference
  • Simple section navigation
  • Chronological career histories
  • Skills reviewed in sequence
  • Compact supporting sections

CV Keywords

  • Python
  • Delivered Python based AI enabled features for course support products
  • machine learning
  • software engineering
  • with attention to secure, maintainable code
  • building Python applications for digital education and SaaS
  • AI solution integration
  • integrating LLM services into staff workflows
  • Software testing
  • supported deployments using Docker and CI pipelines
  • Maintained existing services
  • Microsoft Copilot
  • AI assisted development tools
  • Advised product and education colleagues on software engineering options
  • AI adoption assessment
See all keywords
 

#2 Simple Two Column Format CV Example

Two columns place CV information side by side, a useful choice when readers need a compact view of several sections.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • Separate column areas help distinguish career history from supporting CV sections.
  • The paired layout gives skills and education their own clear space.
  • Recruiters can compare section content without following one long vertical sequence.

Best For

  • Side-by-side section organisation
  • Compact career and skills overview
  • CVs with several supporting sections
  • Readers comparing section details
  • Clear separation of information

#3 Plain One Column with Shaded Labels CV Example

This one-column layout keeps sections in a single reading path, suited to readers who prefer a direct CV structure.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • A single reading path keeps career progression in a familiar order.
  • Experience details can be reviewed without shifting between separate columns.
  • Education and credentials remain part of the same section sequence.

Best For

  • One-direction reading
  • Sequential career history
  • Direct section navigation
  • Education alongside experience
  • Readers who prefer simple layouts
 

#4 One Column Format with Photo Right CV Example

A single-column CV places the photo on the right, combining a direct reading path with a visible portrait.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • The single-column sequence keeps career history easy to follow.
  • Experience and achievements can be read without navigating a second column.
  • Education and credentials remain within the same clear progression.

Best For

  • Right-side portrait preference
  • Single-column reading
  • Sequential career information
  • Experience-led CVs
  • Portrait included in the layout
 

#5 Clean Two Column Sidebar Format CV Example

The two-column layout places CV sections side by side, a practical option for readers who want information grouped compactly.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • Separate areas can keep career history distinct from skills and credentials.
  • The two-column structure makes several CV sections visible together.
  • Recruiters can move between experience and supporting information with less scrolling.

Best For

  • Grouped CV sections
  • Compact information overview
  • Experience beside supporting details
  • Skills and credentials together
  • Readers who prefer side-by-side content
 
 

#6 Two Column Format CV Example

Two columns give the CV a side-by-side structure, helping readers locate different sections across the page.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • Career history and supporting sections can occupy distinct areas.
  • Side-by-side sections help readers find skills and education quickly.
  • The layout offers an alternative to a long single-column sequence.

Best For

  • Side-by-side section layout
  • Quick access to supporting details
  • Career and education overview
  • CVs with varied sections
  • Readers who avoid long vertical layouts
 

#7 Photo Header Two Column Format CV Example

A photo in the header sits above a two-column CV layout, pairing a visible portrait with side-by-side sections.

 
CV example — page 1   CV example — page 2
Generate a Free CV Like This

Why This Format Works

  • The two-column body gives career history and supporting sections separate areas.
  • Side-by-side organisation helps readers move between CV sections.
  • A header portrait adds a clear visual element above the document content.

Best For

  • Header portrait preference
  • Side-by-side section organisation
  • Compact career overview
  • Supporting details beside experience
  • CVs combining portrait and columns
 
 
 

Why Build Your Software Engineer - Python and AI Solutions CV with ResumeInMinutes

Use ResumeInMinutes to organise your Python and AI experience, skills and education in a clear CV. Compare PNG image previews, then open an example in the editor to customise its content and layout.

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

Choose a format that makes your experience easy to follow. Keep the focus on Python development, tested software, practical AI work and secure delivery.

 

See Also

 

Frequently Asked Questions

Are these Software Engineer - Python and AI Solutions CV templates ATS-friendly?

The examples use clear headings and sections to make key information easier to scan. Include relevant terms naturally, such as Python, AI-enabled solutions, machine learning, LLM services, software testing and data protection.

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

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

What should a Software Engineer - Python and AI Solutions CV include?

Include a focused summary, relevant experience, technical skills and education. Describe Python applications and services, AI or machine-learning work, testing, deployment, maintenance, security and data protection where these match your experience.

Which CV layout works well for this role?

Choose a format with clear headings and a logical order for your summary, skills, experience and education. A simple layout helps readers and applicant tracking systems find important details.

How can I show software engineering achievements on my CV?

Write concise bullet points that explain the task, your contribution and the result. Include supported measures, such as improved release checks or reduced manual work, only when you can verify them.

Should I include a photo on my CV?

A photo is usually not needed on a UK CV. Use the space for relevant experience, technical skills and evidence of your work instead.

ATS score and CV checks

Generate a Free CV Like ThisView in Editor

ATS Score 100%

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: 20 of 20 (100%) · CV quality: 100%

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

Details
  • ✓Name present: Adam Moore
  • ✓Email format: adam.moore@example.com
  • ✓Phone format: 07700 90XXXX
  • ✓Experience 1: Job title: Software Engineer
  • ✓Experience 1: Company name: LumenPath Digital
  • ✓Experience 1: Work location: Reading, Berkshire
  • ✓Experience 1: Employment dates: May 2023 - Present
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: AI Software Engineer
  • ✓Experience 2: Company name: Cedarline EdTech
  • ✓Experience 2: Work location: Oxford, Oxfordshire
  • ✓Experience 2: Employment dates: Jan 2021 - Apr 2023
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Python Developer
  • ✓Experience 3: Company name: Hexwell Software
  • ✓Experience 3: Work location: Bristol, Bristol
  • ✓Experience 3: Employment dates: Jun 2018 - Dec 2020
  • ✓Experience 3: Description or achievements: Present
  • ✓Experience 4: Job title: Junior Software Developer
  • ✓Experience 4: Company name: BrightCourse Technologies
  • ✓Experience 4: Work location: Bath, Somerset
  • ✓Experience 4: Employment dates: Apr 2016 - May 2018
  • ✓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
Adam Moore
07700 90XXXX
adam.moore@example.com
adammoore
Reading, Berkshire, RG1 2AG
SUMMARY
Software Engineer with 10 years of experience building Python applications for digital education and SaaS. Deliver services from design and testing through deployment and ongoing support, with attention to secure, maintainable code and practical user needs. Recent contributions include evaluating Microsoft Copilot and AI assisted development tools, integrating LLM services into staff workflows, and advising education and product colleagues on suitable AI adoption. Earlier machine learning delivery includes classification services with staff review for uncertain predictions. Continue professional development in software engineering, Python and AI, and value clear documentation and knowledge sharing that help teams deliver dependable learning services.
EXPERIENCE
Software Engineer
May 2023 - Present
LumenPath Digital
Reading, Berkshire
Develop and support Python services for online learning and student support workflows, using FastAPI, Django and PostgreSQL to deliver maintainable features across web applications.
From 2024, assessed Microsoft Copilot and AI assisted development tools through controlled team trials, documenting suitable use cases, limitations and secure working practices for engineering leads.
Integrated an LLM based service into a staff knowledge search prototype, adding retrieval checks, access controls and human review before responses could be used in operational workflows.
Built automated tests with pytest and deployment checks in GitHub Actions, helping catch regressions before releases and keeping application changes traceable.
Applied organisational security policies and data protection requirements through access reviews, secrets management and privacy checks during design and release reviews.
Advised product and education colleagues on software engineering options and practical AI adoption opportunities, prioritising changes that reduced friction for learners and support staff.
AI Software Engineer
Jan 2021 - Apr 2023
Cedarline EdTech
Oxford, Oxfordshire
Delivered Python based AI enabled features for course support products, translating user needs into services that could be integrated into existing learning platforms.
Trained and evaluated machine learning classification models on anonymised support query data, comparing precision and recall before selecting a model for a supervised pilot.
Exposed model predictions through Flask APIs and added monitoring and fallback behaviour so that uncertain results could be routed to staff rather than presented as definitive guidance.
Worked with software and product colleagues to document model behaviour, data handling and operational support procedures, improving readiness for controlled deployment.
Maintained existing services and investigated production issues using structured logs and test cases, restoring reliable access for education customers.
Python Developer
Jun 2018 - Dec 2020
Hexwell Software
Bristol, Bristol
Built Python and Django features for a multi tenant subscription platform, delivering customer account and reporting workflows with clear separation of user permissions.
Replaced repetitive manual data checks with scheduled validation scripts, giving support staff clearer exception reports and reducing avoidable follow up work.
Expanded unit and integration test coverage with pytest and supported deployments using Docker and CI pipelines, making releases more consistent across development and test environments.
Worked with designers and service teams to resolve usability and data quality issues, recording implementation decisions so changes were easier to maintain.
Junior Software Developer
Apr 2016 - May 2018
BrightCourse Technologies
Bath, Somerset
Implemented small Python enhancements for a digital course administration product, learning established review and release practices while delivering fixes against documented requirements.
Created data import and validation utilities that helped course administrators identify incomplete records before they reached learner facing systems.
Reproduced reported defects, wrote regression tests and updated technical notes, improving handover between developers and customer support.
LEADERSHIP, AWARDS & RECOGNITION
Peer mentored two early career developers at LumenPath Digital, sharing Python testing and code review practices.
Recognised by the Cedarline product team in 2022 for clear technical documentation supporting a machine learning pilot.
EDUCATION
BSc Computer Science
2013
University of Gloucestershire
United Kingdom
CERTIFICATIONS
Generative AI with Large Language Models, DeepLearning.AI and Coursera
2024
Secure Software Development, BCS short course
2022
Python for Everybody Specialisation, University of Michigan and Coursera
2017
TECHNICAL SKILLS
Programming Languages: Python, SQL, JavaScript
Web Frameworks: Django, FastAPI, Flask
Databases: PostgreSQL, SQLite, MySQL
Testing Tools: pytest, unittest, Selenium
CI/CD Tools: GitHub Actions, Jenkins, GitLab CI
Container Platforms: Docker, Podman, Kubernetes
Version Control Platforms: Git, GitHub, GitLab
AI Platforms: Microsoft Copilot, OpenAI API, Azure OpenAI Service
Data Formats: JSON, YAML, XML
Web Servers: Uvicorn, Gunicorn, Nginx
API Technologies: REST, OpenAPI, HTTP
SKILLS
Python development
Software engineering
AI solution integration
Machine learning
Generative AI
LLM services
Secure coding
Software testing
Deployment and maintenance
Data protection
AI adoption assessment
Technical guidance
Digital education
API integration
Continuing development
PROFESSIONAL AFFILIATIONS
Member of the British Computer Society (BCS), engaging with the professional community for software engineering and secure development.
Member of the Python Software Foundation, participating in the Python developer community and its professional development resources.
LANGUAGES
English (Native)
French (Beginner)

Matched keywords (20)

  • Python
  • Delivered Python based AI enabled features for course support productsOriginal keyword in JD: AI-enabled solutions
  • machine learningOriginal keyword in JD: Generative AI OR machine learning OR LLM-based services
  • software engineering
  • with attention to secure, maintainable codeOriginal keyword in JD: Secure, maintainable and scalable code
  • building Python applications for digital education and SaaSOriginal keyword in JD: Software application and service development
  • AI solution integration
  • integrating LLM services into staff workflowsOriginal keyword in JD: AI solution support
  • Software testing
  • supported deployments using Docker and CI pipelinesOriginal keyword in JD: Software deployment
  • Maintained existing servicesOriginal keyword in JD: Software maintenance
  • Microsoft Copilot
  • AI assisted development tools
  • Advised product and education colleagues on software engineering optionsOriginal keyword in JD: Software engineering advice
  • AI adoption assessment
  • data protection
  • organisational security policies
  • using FastAPI, Django and PostgreSQLOriginal keyword in JD: Contemporary software development frameworks and tools
  • Continue professional development in software engineering, Python and AIOriginal keyword in JD: Continuing professional development in software engineering, Python development OR AI/ML
  • digital education

Missing keywords (0)

No missing keywords.

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
 
 
> JP 1 1
PDF Footer and Margins Setup
The margins are applied to the document, and the footer appears in both the preview and the PDF

Footer Font Settings

Are you applying for a specific job
so we can tailor your CV to it? Are you applying for a specific job
so we can tailor your cover letter to it?

Your data stays private and is never used for training.Privacy Policy

Type your details as text to generate a personalised CV Type your details as text to generate a personalised cover letter
Website link found! Ready to create CV from:
Skip this Step

Your data stays private and is never used for training.Privacy Policy

Drag the into the box to verify you're human.
Drop here

My CVs

Showing {number_of_files} files (out of {total_of_all_files} total)
Name File Type Last Modified: Description:

Rename File

Filename already exists!

Delete Files

Warning: This action is irreversible. Once you click submit, the files will be permanently deleted.

Heading text
Upload From Computer Upload
Select From Existing
LinkedIn
Drag & Drop files anywhere in this tab, or

Uploaded Files

Delete Name Last Updated Use This File
Select this to use the file for generating your CV and cover letter. Only one source—uploaded file, selected file, or LinkedIn text—can be used.

My Files

CVs or cover letters you create will appear here. No files available yet.
Delete Name Last Updated Use This File
Select this to use the file for generating your CV and cover letter. Only one source—uploaded file, selected file, or LinkedIn text—can be used.

Add LinkedIn Profile PDF

You can download your LinkedIn profile as a PDF by opening linkedin.com in a web browser, clicking your profile photo, selecting the “More” or “Resources” button, and choosing “Save to PDF.” You can then attach the PDF using the Upload From Computer tab.

Paste Your LinkedIn Profile Text

If you have copied the LinkedIn profile text, paste it below. See how to copy your profile from LinkedIn

Select this to use the LinkedIn profile text for generating your CV and covering letter. Only one source—uploaded file, selected file, or LinkedIn text—can be used.

Try these controls

<
>