India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder
Python, APIs, cloud deployment. You’ll find these skills in both forward deployed engineer and AI engineer job descriptions. Yet the two jobs can lead to very different working days.
An FDE might spend the morning tracing a customer’s approval process before writing an integration. A product AI engineer might spend it investigating why the same application became slower after an update. Both need to ship working software. What changes is how their responsibilities are organized, which problems reach them and how success is judged.
Treat this graphic as a broad orientation. FDEs may retain production ownership; AWS’s description includes maintenance and production incidents. Travel varies by role. The “far more roles” claim isn’t supported by a vacancy count, so the job-market row shouldn’t determine your choice.
Source: Analytics Vidhya — Read the full article on the original site ↗