Skill Gap Analysis for AI Engineers.
Builds production applications powered by large language models and machine learning. Designs prompt pipelines, RAG systems, evaluation frameworks, and integrates AI capabilities into real products.
Short answer: Skilture's AI Engineer profile lists 22 skills, 7 of them core: Python, Large Language Models, Prompt Engineering, RAG, Vector Databases and 2 more.
Source: Skilture's AI Engineer role profile · Updated
Free · No signup · Results in 60 seconds
- Median salary
- $135,980/yr
- Typical range
- $82,460 – $214,67010th–90th percentile
- Core must-haves
- 7 of 22
Source: O*NET OnLine (BLS Occupational Employment and Wage Statistics) (SOC 15-1252.00, 2025) · US figures in US dollars; we have no sourced Indian figure yet.
The 22 skills employers expect from AI Engineers
Grouped by how much each one counts in the score. Tap any skill to see why it matters.
Core skills
Must-haves for this role: half of the scoreImportant skills
Expected in most candidates: 35% of the scoreNice-to-have skills
Differentiators: the last 15% of the scoreHow many of these do you actually have?
Tick the skills you can honestly claim
Your quick readiness estimate
Select the skills you have for AI Engineer and watch your estimate update live.
Works in your browser: no upload, no account.
Why assess your AI Engineer skills?
A score is only useful if it tells you what to do next.
Gaps by name
Each missing skill is named and marked core, important or optional for AI Engineer, so you know what the role expects that your resume does not show.
Skills you never wrote down
The score reads what your resume says. A skill you have but never mention counts as missing, to a recruiter as much as to us.
What to learn first
Core skills carry half the score, so closing one core gap moves it further than closing an optional one.
Deciding between AI Engineer and something else?
See how the two roles differ, skill by skill.
Explore related roles
AI Engineer skill gap: common questions
- What skills do employers look for in a AI Engineer?
- The core skills employers expect from AI Engineer candidates are Python, Large Language Models, Prompt Engineering, RAG, Vector Databases, REST APIs, Problem Solving. Skilture tracks 22 competencies for this role, each marked core, important or optional.
- How do I know if my skills are enough for a AI Engineer job?
- Upload your resume (or enter your skills) at Skilture and pick "AI Engineer" as your target role. In about 60 seconds you get a Skill Score out of 100, the exact skills you're missing, and a checklist to close the gaps — no signup required.
- Is the AI Engineer skill gap analysis free?
- Yes. Skilture's Resume Score and gap analysis are free for job seekers and work without an account. Your resume is kept on our servers so you can re-score it and track progress, and it is never sold or shared with recruiters.