Know exactly what you're worth
See salary ranges and skill gaps for any AI engineering role — pulled from real job listings. No sign-up, takes 1 minute.
Pick the role you're aiming for to see your personalised gap analysis.
How the gap analysis works
Each role's required skills and their frequencies are derived from analysis of active AI engineering job listings. When you check off the skills you have, the tool calculates a weighted readiness score — core skills (those appearing in 60%+ of listings) count more than nice-to-have skills. The gap list shows you exactly what to learn next, ranked by how often each skill appears in real listings for your target role.
This is not a generic skills checklist — every skill weight reflects what employers are actually asking for in 2026. The salary ranges shown are from live listings with disclosed compensation on SuperAIDevs.
AI engineering roles covered
- AI Support / Integration Engineer — Build and maintain LLM-powered products in production. Entry point for many developers moving into AI. ($120K–$200K)
- Forward-Deployed AI Engineer — Embed with enterprise clients to own their AI deployment outcomes. Highest-paid AI engineering track. ($350K–$450K)
- MLOps / AI Platform Engineer — Own the infrastructure AI models run on at scale, including serving, monitoring, and reliability. ($150K–$280K)
- AI Governance Engineer — Make AI systems safe, compliant, and accountable. Fastest-growing role category in 2026. ($180K–$320K)
- LLM Evaluation / Reliability Engineer — Measure and maintain AI quality in production. A new specialisation with high demand and low supply. ($150K–$250K)