AI Engineer CV Example, Template & Guide

Provide contact details

It may sound obvious, but you need to provide your contact details on an AI engineer CV. You’d also be surprised by how many CVs still get this wrong. Mistakes in this section may mean hiring managers won’t be able to reach out, no matter how good of a candidate you are.

What to include:

• Full name – Use your full name.
• Job title – State your professional job title, like “AI Engineer”.
• Phone number – Use a mobile number you actively check.
• Professional email address – Ideally in the format firstname.lastname@email.com. Avoid casual or outdated addresses.
• Location – City and country are enough; there’s no need for your full street address.
• LinkedIn profile – A must-have for AI professionals, as many employers check it to see endorsements and project links.
• Portfolio or GitHub link – Particularly important for AI engineers to showcase code repositories, model demos, and open-source contributions.

Contact details on an AI engineer CV sample

Start with a compelling personal profile

Your personal profile (also called a professional summary) sits at the very top of your AI engineering CV and is often the first section a hiring manager will read. It needs to instantly communicate who you are, what you specialise in, and the value you bring.

Think of it as your elevator pitch in writing. In an AI engineer CV, this is your chance to blend technical credibility with business impact. To write a good personal profile, follow this framework:

• Keep it concise – Aim for 3–5 sentences.
• Lead with your role and experience level – e.g., “AI Engineer with 5 years’ experience in deep learning and natural language processing.”
• Highlight key specialisms – Mention AI frameworks, programming languages, or areas of expertise such as reinforcement learning, computer vision, or generative AI.
• Show business value – Employers care about outcomes. If you’ve deployed models that increased efficiency, improved accuracy, or drove revenue, mention it here.
• Tailor to the role – Every job will have slightly different requirements. Use keywords from the job description without stuffing them unnaturally.

AI engineer CV sample—personal profile

Common mistakes to avoid when writing an AI engineer CV personal profile include:

• Writing in the first person (“I am…”, “My…”).
• Using generic terms like “hardworking” or “proven expertise in” without context.
• Listing many skills one by one.

Detail your work experience

Many candidates can list machine learning models they’ve built. Few can explain why those models mattered to the business. Use your work experience section to bridge that gap. Translate your technical achievements into language that highlights ROI, efficiency gains, or revenue growth.

Structure each work experience entry on your AI engineer CV like this:

• Job title and company
• Location and dates of employment
• Bullet points with achievements – Use power words and action verbs to start each bullet point. Also, quantify as many of them as you can. Whether it’s speed, accuracy, revenue, or cost savings, numbers make your claims credible.

For recent graduates or career changers with limited AI work history, you can replace “Work Experience” with “Projects” and highlight academic, personal, or freelance AI projects using the same achievement-focused style.

Work experience sample on an AI engineer CV

Showcase your education

For an AI engineer CV, your education section can be a strong signal of your technical foundation. Many employers want to see that you’ve mastered the theory behind the algorithms, not just the code. Degrees in Computer Science, Artificial Intelligence, Data Science, or Mathematics are all highly valued.

If you’re early in your career or transitioning into AI, your academic credentials may be one of your biggest strengths. So, for a student CV with no experience, place this section right below your personal profile. If you’re an experienced AI engineer, it can sit below your career history, or be even lower, under your skills section.

Here’s how to list your education:

• Degree title and institution
• Dates attended (or just the graduation date)
• Relevant modules or coursework that align with AI engineering
• Projects or dissertations that demonstrate applied skills
• Awards, scholarships, or honours if notable

Sample education on an AI engineer CV

List AI engineering skills

The skills section of your AI engineer CV is important for recruiters and ensuring your CV is ATS-compatible. It’s your toolkit that represents the technologies you mastered and your personal qualities that help you in your work.

For AI engineer CVs, it’s vital to show both hard skills (technical abilities) and soft skills (interpersonal and cognitive strengths). The balance matters: employers want engineers who can code and optimise models, but also collaborate, adapt, and think critically about problems.

Elevate your AI engineer CV with bonus sections

While core sections like work experience, education, and skills form the backbone of your AI engineer CV, bonus sections can give you a competitive edge. These additions help showcase your commitment to professional growth and position you as a master in your field.

Some of the most popular bonus sections on AI engineering CVs include:

• Publications & research – If you’ve contributed to academic papers, industry whitepapers, or reputable AI blogs, highlight them.
• Projects & portfolio – A portfolio can make your AI engineer CV far more persuasive. Linking to GitHub repositories, Kaggle profiles, or personal websites lets employers see your work in action.
• Awards – Showcase any recognition you’ve received, whether from competitions, conferences, or employers.
• Known languages – List what foreign languages you’re proficient in.
• Certifications – Certificates highlight your theoretical knowledge and desire for further improvement.

AI engineer CV sample—bonus sections

Format your AI engineer CV for maximum impact

An AI engineer CV isn’t judged only on what it says, but also on how it looks. A well-structured CV makes it easier for hiring managers (and Applicant Tracking Systems) to find your key information. Poor formatting, on the other hand, can bury your strengths under clutter.

Here’s how to format your CV for AI engineering:

• Stick to easy-to-read CV fonts such as Arial, Calibri, Helvetica, or Cambria. Avoid overly stylised or script fonts that distract from the content.
• Use consistent font sizes: 14–16 pt for your name, 12–14 pt for section headings, and 10–11 pt for body text.
• Keep margins at 1 inch (2.54 cm) for optimal readability. If needed, reduce to 0.75 inches but avoid going narrower.
• Make section headings stand out with bold text or a slightly larger size to help recruiters scan quickly.
• Align dates, company locations, and job titles neatly and consistently—ideally in a right-hand column or with clear spacing.
• Present achievements in bullet points rather than paragraphs, and quantify results where possible (e.g., “Improved model inference speed by 35% through PyTorch optimisation”).
• Limit the CV length to two pages, distilling your experience to what’s most relevant for the role.
• Save the final CV as a PDF to preserve formatting across devices. Use other file types if required by the employer.