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7 Product Engineer - AI-Augmented Full-Stack Systems CV Templates with Example

By Ria · Last Updated On 24 October 2026
CV example — page 1

This guide shows you how to create a Product Engineer - AI-Augmented Full-Stack Systems CV that is clear, focused and easy to review. It explains how to organise your evidence and choose a format that supports your story.

For this role, connect product discovery and delivery with clear examples of full-stack work. Show how you build responsive interfaces, develop Python services and maintain cloud infrastructure, then explain your judgement when reviewing AI-generated code for security, architecture and performance.

Compare the example presented in 7 layouts through their PNG image previews, then open one in the editor to customise it. You will also find guidance on ATS readability, useful CV sections and role-specific terms such as React.js, TypeScript, FastAPI, PostgreSQL, AWS, Terraform and CI/CD.

What Makes a Great Product Engineer - AI-Augmented Full-Stack Systems CV in 2026

A strong CV makes product ownership, full-stack delivery and technical judgement easy to scan. Use concise bullets to show the problem, your contribution and the result.

Include relevant tools and terms, such as React.js, Python, RESTful APIs, AWS, PostgreSQL, Terraform and CI/CD. Describe AI-assisted coding with evidence of how you reviewed generated code for security, architecture and performance.

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

The Simple One Column Format keeps every section on one vertical reading path, a practical choice for following experience in sequence.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Role-by-role experience stays in one stream, making career progression easier to trace.
  • Skills and tools can be reviewed without switching between separate content areas.
  • Education and certifications fit into the same clear section sequence.

Best For

  • Single-path section reading
  • Detailed role-by-role histories
  • CVs with several sections
  • Chronological experience review
  • Text-led professional profiles

CV Keywords

  • Product Engineer with 7+ years of experience building financial and customer facing products
  • BSc Computer Science
  • Full-stack product engineering
  • Software development lifecycle
  • React.js
  • TypeScript
  • JavaScript
  • Python
  • FastAPI
  • RESTful APIs
  • microservices
  • API contract design
  • authentication
  • asynchronous processing
  • AWS Lambda
See all keywords
 

#2 Simple Two Column Format CV Example

The Simple Two Column Format divides the CV body into two reading areas, which suits documents balancing work history with supporting details.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Two reading areas can help reviewers locate skills while keeping experience in view.
  • A separate column structure gives shorter sections room beside detailed role descriptions.
  • The layout offers an alternative to reading every section in one long vertical stream.

Best For

  • CVs balancing detailed experience and other sections
  • Side-by-side section navigation
  • Compact supporting information
  • Readers comparing skills and experience
  • Applications with varied content

#3 Plain One Column with Shaded Labels CV Example

The Plain One Column with Shaded Labels places the CV content in one column, giving reviewers a direct route through its sections.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • A single reading route keeps the full work history together for review.
  • Skills and education remain within the same vertical structure as experience.
  • One-column organisation suits detailed bullets that need room to read clearly.

Best For

  • One-route document reading
  • Detailed experience descriptions
  • CVs with skills and education sections
  • Text-focused applications
  • Review of a complete career history
 

#4 One Column Format with Photo Right CV Example

The One Column Format with Photo Right places a portrait to the right of a single-column CV, pairing a personal image with a direct reading path.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • The single-column body keeps experience and its supporting detail in one reading stream.
  • Reviewers can move through skills and education without navigating separate body columns.
  • The right-positioned portrait adds a visible personal element without changing the body structure.

Best For

  • CVs using a portrait
  • Single-column section reading
  • Text alongside a personal image
  • Detailed work history
  • Applications where a portrait suits the presentation
 

#5 Clean Two Column Sidebar Format CV Example

The Clean Two Column Sidebar Format uses two body columns, suiting a CV that needs separate areas for career details and supporting information.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • The two-column structure gives experience and supporting sections distinct reading areas.
  • Skills can be reviewed as a separate content group from longer work history.
  • Education and credentials can share the CV body without extending one continuous column.

Best For

  • Separate areas for CV content
  • Work history with supporting sections
  • Skills alongside experience
  • CVs with several credentials
  • Readers moving between section groups
 
 

#6 Two Column Format CV Example

The Two Column Format organises the CV body across two columns, offering a compact way to present several sections together.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Two columns let reviewers scan separate content areas without one long vertical sequence.
  • The structure can keep career history visible alongside skills and education.
  • Distinct column areas help organise experience, achievements and credentials within the same CV.

Best For

  • CVs with multiple content sections
  • Compact section organisation
  • Readers scanning experience and credentials
  • Skills and education alongside work history
  • Applications with varied supporting details
 

#7 Photo Header Two Column Format CV Example

The Photo Header Two Column Format combines a portrait in the header with a two-column body, for a CV that pairs a photo with divided content areas.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • The two-column body gives experience and supporting sections separate areas to occupy.
  • Reviewers can scan skills and education without following one long column.
  • A header portrait provides a clear visual choice while leaving the body in two columns.

Best For

  • CVs with a photo header
  • Two-column section organisation
  • Experience with supporting details
  • Readers scanning several CV sections
  • Applications suited to portrait presentation
 
 
 

Why Build Your Product Engineer - AI-Augmented Full-Stack Systems CV with ResumeInMinutes

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

  • Clear, readable CV layouts
  • Organised experience and education
  • Space for relevant technical terms
  • Skills grouped for quick review
  • PNG image previews
  • CV customisation in the editor

Choose the format that makes your product work and technical decisions easy to follow. Keep each section focused on the evidence most relevant to full-stack delivery and responsible use of AI-assisted development tools.

 

See Also

 

Frequently Asked Questions

Are these Product Engineer - AI-Augmented Full-Stack Systems CV templates ATS-friendly?

The examples use clear headings and sections that are easy to scan. Add relevant terms naturally, such as React.js, TypeScript, Python, RESTful APIs, AWS, PostgreSQL, Terraform and AI-generated code review.

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 a Product Engineer - AI-Augmented Full-Stack Systems CV include?

Include a focused summary, relevant experience, technical skills, education and certifications. Use work examples to show product delivery, interface and API development, cloud infrastructure, testing and careful review of AI-generated code.

Which CV layout works well for this role?

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

How can I show AI-assisted development on my CV?

Name tools you have used, such as Claude Code, GitHub Copilot or Devin AI, when they are part of your experience. Explain how you checked generated code for security, architecture and performance, and include the outcome where you can support it.

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 supported results instead.

ATS Score 98%

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: 44 of 46 (96%) · CV quality: 100%

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

Details
  • ✓Name present: Bethan Kaur
  • ✓Email format: bethan.kaur@example.com
  • ✓Phone format: 07700 90XXXX
  • ✓Experience 1: Job title: Senior Product Engineer
  • ✓Experience 1: Company name: Larchgate Software
  • ✓Experience 1: Work location: Belfast, Northern Ireland
  • ✓Experience 1: Employment dates: Aug 2024 - Present
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Product Engineer
  • ✓Experience 2: Company name: Kestrel Product Labs
  • ✓Experience 2: Work location: Leeds, England
  • ✓Experience 2: Employment dates: May 2022 - Aug 2024
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Software Engineer
  • ✓Experience 3: Company name: Bracken Digital
  • ✓Experience 3: Work location: Manchester, England
  • ✓Experience 3: Employment dates: Oct 2020 - May 2022
  • ✓Experience 3: Description or achievements: Present
  • ✓Experience 4: Job title: Associate Software Engineer
  • ✓Experience 4: Company name: Calder Systems
  • ✓Experience 4: Work location: Sheffield, England
  • ✓Experience 4: Employment dates: Jan 2019 - Oct 2020
  • ✓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
Bethan Kaur
07700 90XXXX
bethan.kaur@example.com
bethankaur
Belfast, BT7 1NN
SUMMARY
Product Engineer with 7+ years of experience building financial and customer facing products from discovery through production. Deliver full stack features with product and design partners, combining responsive interfaces with Python services and cloud infrastructure. Recent development includes reviewing AI generated code for security, architecture and performance concerns, alongside strengthening testing and release checks. Focus on maintainable systems, reusable components and practical product outcomes.
EXPERIENCE
Senior Product Engineer
Aug 2024 - Present
Larchgate Software
Belfast, Northern Ireland
Leads delivery of digital financial services features from product discovery to production, turning customer workflows and compliance needs into clear technical designs with product managers, designers and engineering stakeholders.
Builds responsive React.js interfaces in TypeScript and JavaScript, using functional components, hooks, state management and a shared component library to keep user journeys consistent across devices.
Develops Python microservices and RESTful APIs with FastAPI, including API contracts, PostgreSQL data models, authentication and asynchronous processing for account and payment workflows.
Operates services on AWS using Lambda, S3, CloudFront and API Gateway; provisions environments with Terraform and Infrastructure as Code to make deployments repeatable.
Since 2025, applies Claude Code, GitHub Copilot and Devin AI to prototyping and implementation, then reviews, tests and validates generated code for security vulnerabilities, architectural issues and performance bottlenecks before merge.
Strengthened Git-based CI/CD pipelines with automated tests, review checks and deployment safeguards, improving confidence in production releases and simplifying rollback decisions.
Coaches engineers through code reviews and design discussions, helping establish reusable components and practical standards for maintainable full-stack delivery.
Product Engineer
May 2022 - Aug 2024
Kestrel Product Labs
Leeds, England
Delivered customer-facing investment account improvements across React and Python services, clarifying user needs with product and design colleagues before shaping implementation plans.
Built React.js interfaces with TypeScript, JavaScript, hooks and functional components, adapting shared component libraries to support responsive screens and accessible interactions.
Created Flask and Django RESTful APIs with authentication and asynchronous processing, separating service responsibilities into microservices as product capabilities expanded.
Refined PostgreSQL relational database design and query optimisation for portfolio views, using query plans and representative workloads to resolve slow account searches.
Maintained AWS workloads and Terraform-managed infrastructure, including Lambda, S3, CloudFront and API Gateway configurations, with changes delivered through Git and CI/CD pipelines.
Expanded automated testing and took part in code reviews and production deployments, documenting technical trade-offs so product and technical stakeholders could make informed release decisions.
Software Engineer
Oct 2020 - May 2022
Bracken Digital
Manchester, England
Developed Python backend features for a regulated financial planning platform, translating product requirements into maintainable service changes and RESTful API behaviour.
Implemented Django endpoints, authentication flows and asynchronous background tasks, documenting API contracts to reduce integration ambiguity for frontend developers.
Built responsive React and JavaScript screens with reusable functional components and hooks, incorporating designer feedback into clearer customer account journeys.
Improved PostgreSQL relational data structures and tuned frequently used queries, validating changes against realistic transaction and account data.
Added automated tests and Git-based CI/CD checks, investigated defects with colleagues and supported controlled production deployments.
Associate Software Engineer
Jan 2019 - Oct 2020
Calder Systems
Sheffield, England
Contributed Python and Flask features to internal financial operations tools, learning to turn user requests into small, testable changes with guidance from senior engineers.
Built JavaScript interface updates and early React components for transaction review screens, checking responsive behaviour against design requirements.
Added RESTful API tests and PostgreSQL data validation to catch inconsistent records before release, and recorded results for review by the wider team.
Used Git, peer code reviews and deployment checklists to deliver incremental updates safely and communicate technical issues clearly.
LEADERSHIP, AWARDS & RECOGNITION
Recognised by the Larchgate engineering group in 2025 for thoughtful code reviews and practical mentoring of early-career developers.
Led a cross-functional product delivery retrospective at Kestrel Product Labs, turning feedback from engineering, design and product colleagues into improvements to release handovers.
EDUCATION
BSc Computer Science
2018
University of Sheffield
Sheffield, England
CERTIFICATIONS
AWS Certified Developer – Associate
2023
HashiCorp Certified: Terraform Associate
2024
TECHNICAL SKILLS
Programming Languages: Python, JavaScript, TypeScript
Web Frameworks: React.js, Django, Flask
Python API Frameworks: FastAPI, Flask, Django REST framework
Cloud Platforms: AWS Lambda, Amazon S3, Amazon CloudFront
AWS Integration Services: Amazon API Gateway, Amazon SQS, Amazon SNS
Databases: PostgreSQL, MySQL, SQLite
Infrastructure as Code: Terraform, AWS CloudFormation, Ansible
Version Control: Git, GitHub, GitLab
Testing Tools: pytest, Jest, React Testing Library
Web Technologies: HTML5, CSS3, WebSocket
Build and Delivery Tools: GitHub Actions, Jenkins, Docker
API and Data Formats: REST, JSON, OpenAPI
SKILLS
Full-stack product engineering
Software development lifecycle
Responsive interface development
API contract design
Microservices development
Authentication and security
Asynchronous processing
Relational data modelling
Query optimisation
Cloud infrastructure delivery
Infrastructure as Code
CI/CD and testing
AI code review
Product discovery
Technical decision-making
PROFESSIONAL AFFILIATIONS
Member, British Computer Society (BCS), engaging with the UK computing profession and its software engineering community.
Member, Python Software Foundation, participating in a professional community focused on Python and its ecosystem.

Matched keywords (44)

  • Product Engineer with 7+ years of experience building financial and customer facing productsOriginal keyword in JD: 7+ years of professional software engineering experience
  • BSc Computer ScienceOriginal keyword in JD: BSc in Computer Science
  • Full-stack product engineering
  • Software development lifecycle
  • React.js
  • TypeScript
  • JavaScript
  • Python
  • FastAPIOriginal keyword in JD: FastAPI OR Flask OR Django
  • RESTful APIs
  • microservices
  • API contract design
  • authentication
  • asynchronous processing
  • AWS Lambda
  • Amazon S3
  • Amazon CloudFront
  • Amazon API Gateway
  • Terraform
  • Infrastructure as Code
  • PostgreSQL
  • relational database design
  • query optimisation
  • Git
  • CI/CD pipelines
  • automated testing
  • production deployments
  • code reviews
  • applies Claude Code, GitHub Copilot and Devin AI to prototyping and implementationOriginal keyword in JD: AI-assisted development
  • Claude CodeOriginal keyword in JD: Claude Code OR GitHub Copilot OR Devin AI
  • reviews, tests and validates generated code for security vulnerabilities, architectural issues and performance bottlenecks before mergeOriginal keyword in JD: AI-generated code review and validation
  • reviews, tests and validates generated code for security vulnerabilitiesOriginal keyword in JD: Security vulnerability assessment
  • reviews, tests and validates generated code for security vulnerabilities, architectural issuesOriginal keyword in JD: Architecture evaluation
  • reviews, tests and validates generated code for security vulnerabilities, architectural issues and performance bottlenecks before mergeOriginal keyword in JD: Performance bottleneck analysis
  • Responsive interface development
  • functional components and hooks
  • state management
  • Built responsive React and JavaScript screens with reusable functional componentsOriginal keyword in JD: Reusable component development
  • helping establish reusable components and practical standards for maintainable full-stack deliveryOriginal keyword in JD: Technical standards development
  • Leads delivery of digital financial services features from product discovery to productionOriginal keyword in JD: Feature ownership
  • Technical decision-making
  • Deliver full stack features with product and design partnersOriginal keyword in JD: Cross-functional collaboration
  • using query plans and representative workloads to resolve slow account searchesOriginal keyword in JD: Problem-solving
  • translating product requirements into maintainable service changesOriginal keyword in JD: Maintainable code

Missing keywords (2)

  • Product thinking
  • AWS cloud-native development
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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