India's AI engineering hiring grew 59.5% YOY; Fastest in the world, per LinkedIn

India's AI engineering talent market is on a tear. Hiring for AI roles in the country grew 59.5% year-on-year—the highest growth rate among all markets studied in LinkedIn's AI Labor Market Update for April 2026, which also covered the US, UK, France, and Germany. The data signals not just a boom, but a structural shift in how and where AI talent is being absorbed across the country.

Tier-2 cities are getting in on the action

Bengaluru remains the anchor, with 3.0% of its LinkedIn members holding AI engineering talent—on par with San Francisco globally. But the more interesting story is what's happening outside the usual suspects. Hyderabad posted 51% YoY growth in AI engineering hiring, while Vijayawada—a city that rarely features in tech hiring conversations—clocked 45.5%. That kind of growth in a tier-2 market is hard to ignore.

The spread reflects a broader pattern in the report: national AI hiring growth is increasingly outpacing hub-level growth across multiple countries. India is no exception, with its 59.5% national figure outrunning Bengaluru's own 52.3% city-level growth.

SMBs are chasing applied AI, not theoretical

Large enterprises still employ the highest share of AI talent—around 4% of staff on average—but smaller and mid-sized businesses are closing the gap fast. In India's SMB segment, the fastest-growing AI skills in 2025 were AI Agents, AI Productivity, Azure AI Studio, Intelligent Agents, and Automated Feature Engineering. These aren't exploratory capabilities. They're deployment-focused, operationally grounded, and exactly what a lean team needs to ship something real.

Manufacturing is another standout. AI engineering talent in India's manufacturing sector has quadrupled since 2016, reaching a 2.0% share of the workforce in 2025. AI Agents and AI Prompting are the fastest-growing skills in the sector—use cases reportedly include production scheduling and supply chain optimization.

LinkedIn's Head of India Engineering, Malai Lakshmanan, put it plainly: engineers who can move from experimentation to execution are best positioned to benefit. The data backs that up. The demand isn't for people who know AI in theory—it's for people who can put it to work.