As an AI Engineer, your CV should reflect your experience of designing, building, and deploying AI systems that automate tasks, generate insights, enhance user experiences and automate decisions. It’s also crucial that it highlights your ability to use Artificial Intelligence and machine learning techniques to solve challenging coding problems and build apps with rich functionality.
For a role like this stress your hands-on experience in creating applications, platforms, and services that integrate AI capabilities to solve real-world business challenges and deliver meaningful impact.
When writing your CV keep it brief but include enough details to paint a full picture of your past experiences and future potential. Don’t forget to mention that you have the right cultural fit needed to drive their business forward.
By: Iejaz Uddin – Updated: 1 January 2026
AI Engineer CV example
Maxine Corry
Address
T: 0044 123 456 7890
E: info@dayjob.com
PERSONAL SUMMARY
A passionate and enthusiastic AI Engineer who can design, develop, and deploy machine learning models and AI-driven solutions to enhance business activities. Maxine is a proven trouble-shooter who can identify and fix issues in AI applications and algorithms. She is at the cutting edge of emerging advanced AI techniques and has a record of navigating a complex technical environment and delivering robust solutions. As a superb storyteller she can communicate complex insights clearly and persuasively.
In her current role she works on real challenges for major clients and has been instrumental in creating products that enhance efficiency, aid experts in prioritizing tasks and improving business decision-making. With colleagues she has a reputation for aligning AI initiatives with organizational goals.
On a personal level she has a continuous desire to learn and grow her tech skills.
Right now, she would like to join a company where she will work with diverse teams, grow quickly, and be supported every step of the way.
CAREER HISTORY
AI ENGINEER – Start Date – Present
Employers name – Location
Responsible for developing algorithms that enable machines to perform tasks that typically require human intelligence.
Duties;
- Designing AI systems using deep learning, reinforcement learning and rule-based logic.
- Coding, testing, developing, embedding and deploying AI technologies effectively into end-to-end systems.
- Assessing fairness, transparency, and interpretability in the complex AI models.
- Using tools like deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to improve operations and drive innovation.
- Writing clear, high-quality code snippets and detailed explanations.
- Building and presenting engaging AI demos and prototypes that showcase the value of generative Artificial Intelligence.
- Designing customer-centric AI experiences like conversational interfaces and intelligent automation.
- Working closely with researchers, data scientists, and software engineers on projects.
- Deploying AI-powered solutions via APIs or microservices.
- Serving as liaison between stakeholders and AI project teams.
JOB TITLE – Start Date – End Date
Employers name – Location
KEY SKILLS AND COMPETENCIES
Professional
- A strong track record of developing high quality, production code in Python.
- Experience in artificial intelligence (XAI) for ML models.
- Proficiency in programming languages such as JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, and Swift.
- Staying current with emerging generative AI technologies.
- Skilled in cross-functional collaboration with sales and product teams.
- Proficient in data engineering and big data processing.
Personal
- Setting and maintaining high ethical standards in all work activities.
- Strong communication and teamwork skills, with the confidence to share ideas.
- Is able to work with people from all social backgrounds and cultures.
AREAS OF EXPERTISE
Machine Learning
Problem solving
AI tools
Innovative thinking
Software engineering
AI development
AI strategy
ACADEMIC QUALIFICATIONS
University name – Degree details Study Dates
College name – Qualifications Study Dates
School name – Subjects / Grades Study Dates
REFERENCES
Available on request.
How to write an AI Engineer CV
For success in job hunting your CV has to describe your ability to collaborate closely with cross-functional teams to spearhead the development of cutting-edge artificial intelligence solutions.
In addition to this, your CV has to be written CV in a clear way that is easy to read and scan for keywords and phrases that the recruiter is looking for.
When writing your CV keep its length short, ideally no longer than two sides of A4 paper. Keep the fonts black, between a size of 10-12, and use common types such as Calibri, Arial or Times New Roman. The layout should be simple and make clear by using headings and formatting such as bolding, italics, spacing and underlining to break up blocks of text.
This article provides examples, templates, and tips to craft a CV that hits the mark.
Skills to include in your AI Engineer CV
In a CV show you can:
- Develop scalable AI solutions.
- Evaluate AI-generated code for accuracy, performance, and clarity.
- Use generative AI tools and frameworks to come up with applications.
- Apply machine learning models to optimise performance and integrate AI into business processes.
- Utilise cloud platforms such as AWS, Azure, or GCP.
- Create and manage the AI development and production infrastructure.
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