The fastest growing AI job category right now isn't LLM engineering. It's multimodal AI engineering.

Why: every major model is going multimodal. GPT-4o sees and hears. Claude processes images and documents. Gemini handles video. The text-only era is ending.

Multimodal AI roles: Vision-Language Model Engineer. Audio-Visual AI Pipeline Engineer. Document Understanding ML Engineer (PDFs, forms, tables + text). Multimodal RAG Specialist. Sensor Fusion ML Engineer (combining cameras, LiDAR, radar).

What makes multimodal roles special: they require understanding multiple AI subfields simultaneously. You can't just know NLP or just know CV — you need to understand how modalities interact, complement each other, and sometimes conflict.

Salary premium: multimodal AI engineers command 15-25% more than single-modality specialists because the skill set is rarer.

Companies hiring: every major AI lab, automotive companies, healthcare tech, manufacturing, retail (visual search, virtual try-on), and security companies.

The career advice: if you currently specialize in one modality (text, vision, or audio), learn to combine it with another. Text + vision is the most in-demand combination right now. But text + audio is growing fast with voice AI.

The engineer who can build a system that reads a document, understands the charts within it, and answers spoken questions about it — that engineer is in very high demand.

Multimodal is the future. Position yourself there now.