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7 Python Engineer - LLM Applications CV Templates with Example

By Ria · Last Updated On 19 October 2026
CV example — page 1

This guide shows you how to create a clear, focused CV for a Python Engineer - LLM Applications role. It helps you organise relevant evidence so readers can quickly understand the work you have done.

For this role, your CV should connect Python backend engineering with LLM applications used in production. Show how you build dependable services, make safe changes to existing code and work with others to shape practical solutions.

Compare the example in 7 layouts using the PNG image previews, then open a version in the editor to customise it. The guide also covers ATS-friendly structure and relevant terms, including FastAPI, asynchronous Python, RAG, enterprise search, OpenAI, Azure OpenAI and vector databases.

What Makes a Great Python Engineer - LLM Applications CV?

A strong CV makes your backend work and production LLM delivery easy to follow. Use clear sections and focused bullets to show your contribution and its results.

Include relevant terms such as FastAPI, RAG, LangChain, pytest and observability where they match your experience. Add figures 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

The single-column body gives the CV one clear reading path, which suits readers who prefer a familiar layout.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • A single reading path keeps experience entries and their achievement bullets together.
  • The ordered sections help reviewers follow career progression from role to role.
  • Skills, education and credentials remain part of the same clear sequence.

Best For

  • Familiar top-to-bottom reading
  • Chronological career histories
  • Detailed achievement bullets
  • Skills and education in one sequence
  • Straightforward section navigation

CV Keywords

  • Python Engineer with 9+ years of commercial experience
  • current UK Security Check (SC) clearance
  • production backend systems
  • Python
  • FastAPI
  • REST APIs
  • asynchronous Python
  • integrating OpenAI and Azure OpenAI foundation models
  • PostgreSQL
  • SQL
  • Docker
  • Kubernetes
  • CI/CD
  • pytest
  • RAG
See all keywords
 

#2 Simple Two Column Format CV Example

The two-column body groups CV information across the page, a useful choice when readers want a more compact overview.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • The paired columns give different CV sections room without a long vertical run.
  • Experience entries and supporting details can be reviewed within one overall layout.
  • The two-column reading order offers an alternative to a single continuous page width.

Best For

  • Compact section organisation
  • Readers comparing CV details
  • Experience with supporting information
  • A break from full-width text
  • Several distinct CV sections

#3 Plain One Column with Shaded Labels CV Example

The one-column layout keeps the CV in a familiar reading order, with a plain overall structure for readers who value simplicity.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • One continuous column lets reviewers move through experience and achievements in sequence.
  • A straightforward reading path keeps skills and education within the same overall view.
  • The plain structure leaves the content, rather than decoration, at the centre.

Best For

  • Simple reading order
  • Chronological work histories
  • Achievement-led experience sections
  • A restrained CV appearance
  • Skills and education in sequence
 

#4 One Column Format with Photo Right CV Example

The one-column body includes a photo, suiting readers who want a portrait alongside a familiar CV reading path.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • The single-column body keeps experience entries and their supporting achievement bullets in sequence.
  • Reviewers can follow education and credentials without switching between columns.
  • The included photo gives the page a personal visual element without changing its reading order.

Best For

  • Portrait alongside the CV
  • Familiar one-column reading
  • Chronological experience details
  • Education and credentials in sequence
  • Achievement-focused career histories
 

#5 Clean Two Column Sidebar Format CV Example

The two-column body offers a separate visual area for CV details, giving readers another way to scan the information.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • The two-column structure gives experience and other CV sections distinct areas.
  • Reviewers can scan the page across its two content areas rather than down one column.
  • A clear division helps keep achievement details connected to their relevant sections.

Best For

  • Distinct CV content areas
  • Readers who scan across a page
  • Experience paired with other details
  • Multiple supporting sections
  • A structured visual overview
 
 

#6 Two Column Format CV Example

The two-column layout gives the CV a side-by-side reading structure, which suits readers looking for a more compact view of its sections.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Side-by-side content areas give the CV a different rhythm from a full-width layout.
  • The two-column structure offers room to present experience alongside other sections.
  • Reviewers can move between distinct areas while keeping the full CV in view.

Best For

  • Side-by-side section reading
  • Compact CV overviews
  • Experience with supporting sections
  • Readers scanning distinct areas
  • Multiple types of CV content
 

#7 Photo Header Two Column Format CV Example

The two-column body includes a photo, a suitable choice for readers who want a portrait with a more compact CV layout.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • The two-column body gives separate sections space while keeping the CV together.
  • Reviewers can scan experience and supporting details across a compact page structure.
  • The included photo adds a visual element while leaving the body in two columns.

Best For

  • Portrait with a compact CV
  • Two-column section reading
  • Experience and supporting details
  • Readers who scan across a page
  • Several distinct CV sections
 
 
 

Why Build Your Python Engineer - LLM Applications CV with ResumeInMinutes

ResumeInMinutes helps you organise Python engineering 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.

  • Different CV layouts
  • Clear, 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 experience easiest to scan. Keep the focus on production Python services, LLM applications, security and reliable delivery.

 

See Also

 

Frequently Asked Questions

Are these Python Engineer - LLM Applications CV templates ATS-friendly?

The examples use clear headings and sections to support scanning. Include relevant terms naturally, such as FastAPI, asynchronous Python, OpenAI, Azure OpenAI, RAG, pytest and Kubernetes, when they reflect your experience.

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 Python Engineer - LLM Applications CV include?

Include a focused summary, relevant experience, technical skills and education. Show evidence of Python backend services, REST APIs, production LLM integrations, testing, security and reliability.

Which CV layout works well for this role?

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

How can I show LLM application work on my CV?

Use concise bullet points to explain the service, your contribution and the outcome. Where relevant, name tools such as OpenAI, Azure OpenAI, LangChain, pgvector or Redis, and describe production needs such as latency, cost, retries and reliability.

Should I include a photo on my CV?

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

ATS Score 95%

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: 42 of 46 (91%) · CV quality: 100%

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

Details
  • ✓Name present: Luke Campbell
  • ✓Email format: luke.campbell@example.com
  • ✓Phone format: 07700 90XXXX
  • ✓Experience 1: Job title: Senior Python Engineer
  • ✓Experience 1: Company name: Northstar Digital Services
  • ✓Experience 1: Work location: Manchester, Greater Manchester
  • ✓Experience 1: Employment dates: Apr 2023 - Present
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Python Engineer
  • ✓Experience 2: Company name: Harbourline Technology
  • ✓Experience 2: Work location: Leeds, West Yorkshire
  • ✓Experience 2: Employment dates: Jan 2021 - Mar 2023
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Software Engineer
  • ✓Experience 3: Company name: Redwood Software Group
  • ✓Experience 3: Work location: Sheffield, South Yorkshire
  • ✓Experience 3: Employment dates: Jun 2019 - Dec 2020
  • ✓Experience 3: Description or achievements: Present
  • ✓Experience 4: Job title: Junior Python Developer
  • ✓Experience 4: Company name: Moorland Systems
  • ✓Experience 4: Work location: Nottingham, Nottinghamshire
  • ✓Experience 4: Employment dates: May 2017 - May 2019
  • ✓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
Luke Campbell
07700 90XXXX
luke.campbell@example.com
lukecampbell
Manchester, Greater Manchester, M1 4AB
SUMMARY
Python Engineer with 9+ years of commercial experience building production backend systems and recent specialisation in secure LLM applications. Develop Python services and REST APIs with FastAPI, asynchronous patterns, PostgreSQL and SQL, and have taken generative AI capabilities from discovery and prototypes into production use. In public-sector settings, deliver document intelligence and information discovery through OpenAI and Azure OpenAI integrations, RAG and enterprise search. Work with consultants, architects, frontend engineers and customer stakeholders to turn operational needs into dependable services, while improving large codebases through staged changes and testing. Apply current UK Security Check (SC) clearance to sensitive service delivery, with production attention to application security, latency, cost, retries, rate limits, observability and reliability.
EXPERIENCE
Senior Python Engineer
Apr 2023 - Present
Northstar Digital Services
Manchester, Greater Manchester
Shaped production LLM services for public-sector operational teams, moving discovery prototypes into secure applications through design reviews with consultants, architects, frontend engineers and customer stakeholders.
Built asynchronous Python backends and REST APIs with FastAPI, PostgreSQL and SQL, integrating OpenAI and Azure OpenAI foundation models for document intelligence and information discovery.
Delivered RAG and enterprise search using embeddings, pgvector and Redis, comparing Chroma and FAISS retrieval approaches against representative user queries to select suitable indexing patterns.
Developed LangChain orchestration and agentic workflows with bounded tool access, then tuned prompt strategies against latency, cost, retries and rate limits before release.
Applied Entra ID and OAuth/OIDC controls, Docker and Kubernetes/OpenShift deployment patterns, and CI/CD checks to protect sensitive services and improve release consistency.
Expanded pytest coverage and production observability with Prometheus and OpenTelemetry, giving service teams clearer evidence for diagnosing failures and maintaining reliability.
Used Terraform to make Azure environments reproducible and introduced staged changes to a large existing codebase, reducing release risk while preserving established service behaviour.
Python Engineer
Jan 2021 - Mar 2023
Harbourline Technology
Leeds, West Yorkshire
Delivered Python backend services for document-heavy casework products, using FastAPI, asynchronous Python and PostgreSQL to support responsive internal workflows.
Reworked REST APIs within a large codebase, adding pytest regression coverage and reviewable CI/CD checks so that service improvements could be released safely.
Standardised Docker builds and Kubernetes/OpenShift deployment configuration, helping teams investigate environment differences and stabilise application releases.
Implemented Azure authentication integrations using Entra ID and OAuth/OIDC, with Redis-backed caching for frequently accessed reference data.
Software Engineer
Jun 2019 - Dec 2020
Redwood Software Group
Sheffield, South Yorkshire
Developed Python services and REST APIs for business process applications, translating user requirements into maintainable backend features backed by PostgreSQL and SQL.
Improved existing modules through targeted refactoring, pytest tests and peer review, making routine changes safer across a growing codebase.
Supported Docker-based development and CI/CD pipelines, documenting deployment steps so engineering and support colleagues could reproduce issues consistently.
Junior Python Developer
May 2017 - May 2019
Moorland Systems
Nottingham, Nottinghamshire
Built and maintained Python components for customer-facing workflow software, using SQL and relational database practices to keep operational records consistent.
Added API validations and automated tests to established services, helping senior engineers release incremental improvements without disrupting users.
LEADERSHIP, AWARDS & RECOGNITION
Recognised by a client delivery team in 2025 for clear technical documentation and dependable incident follow-up on a sensitive service.
Mentored two early-career engineers through code reviews and practical sessions on Python testing and API design.
EDUCATION
BSc Computer Science
2013
University of Leeds
Leeds, UK
CERTIFICATIONS
Microsoft Certified: Azure Developer Associate
2024
HashiCorp Certified: Terraform Associate
2025
Current UK Security Check (SC) clearance
2025
TECHNICAL SKILLS
Programming Languages: Python, SQL, Bash
Python Frameworks: FastAPI, Flask, Django
API Technologies: REST, OpenAPI, HTTP
LLM Platforms: OpenAI, Azure OpenAI, LangChain
Vector Search: pgvector, Chroma, FAISS
Databases: PostgreSQL, Redis, SQLite
Cloud Platforms: Microsoft Azure, Azure App Service, Azure Storage
Containers and Orchestration: Docker, Kubernetes, OpenShift
Testing Tools: pytest, unittest, coverage.py
Identity and Security: Microsoft Entra ID, OAuth 2.0, OpenID Connect
Infrastructure as Code: Terraform, Azure Resource Manager, Bicep
Observability Tools: Prometheus, OpenTelemetry, Grafana
CI/CD Platforms: GitHub Actions, Jenkins, Azure Pipelines
SKILLS
Python engineering
FastAPI
Asynchronous Python
REST APIs
PostgreSQL
SQL
LLM integration
RAG
Enterprise search
Document intelligence
Prompt strategy
LLM orchestration
Application security
Observability
Service reliability
PROFESSIONAL AFFILIATIONS
Member, British Computer Society (BCS), engaging with the UK computing profession and its technical community.
Member, Python Software Foundation, participating in the professional community supporting Python and its ecosystem.
LANGUAGES
English (Native)
French (Intermediate)

Matched keywords (42)

  • Python Engineer with 9+ years of commercial experienceOriginal keyword in JD: 5+ years of commercial Python engineering experience
  • current UK Security Check (SC) clearanceOriginal keyword in JD: Current or recently held UK Security Check (SC) clearance
  • production backend systems
  • Python
  • FastAPI
  • REST APIs
  • asynchronous Python
  • integrating OpenAI and Azure OpenAI foundation modelsOriginal keyword in JD: LLM application integration
  • PostgreSQL
  • SQL
  • Docker
  • KubernetesOriginal keyword in JD: Kubernetes OR OpenShift
  • CI/CD
  • pytest
  • RAG
  • enterprise search
  • document intelligence
  • embeddings
  • Delivered RAG and enterprise search using embeddings, pgvector and RedisOriginal keyword in JD: Vector databases
  • Prompt strategy
  • LLM orchestration
  • LangChainOriginal keyword in JD: LangChain OR similar frameworks
  • agentic workflows
  • application security
  • testing
  • observability
  • Service reliability
  • design reviews with consultants, architects, frontend engineers and customer stakeholdersOriginal keyword in JD: Cross-functional collaboration
  • design reviews with consultants, architects, frontend engineers and customer stakeholdersOriginal keyword in JD: Customer stakeholder engagement
  • OpenAIOriginal keyword in JD: OpenAI OR Azure OpenAI OR comparable foundation models
  • tuned prompt strategies against latency, cost, retries and rate limits before releaseOriginal keyword in JD: Cost management
  • tuned prompt strategies against latency, cost, retries and rate limits before releaseOriginal keyword in JD: Retry and rate-limit management
  • Azure
  • pgvector
  • Chroma
  • FAISS
  • Entra ID
  • OAuth/OIDC
  • Redis
  • Terraform
  • Prometheus
  • OpenTelemetry

Missing keywords (4)

  • Safe improvement of existing services
  • Operational needs discovery
  • Large-codebase navigation
  • Production latency 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.

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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