Underpay and you lose them. Overpay and you distort every band.
These benchmarks give founders and India team leaders a realistic 2026 picture by seniority and city. Treat them as directional ranges; replace them with Talhive's live placement data before you set offers.
Underpay for a senior engineer in India and you will hire, then lose them inside a year. Overpay and you distort your whole band.
If you have ten minutes before a hiring review, read only this.
How to read these benchmarks.
All figures are total annual compensation in Indian Rupees, covering fixed plus variable, not base alone. Ranges are wide because specialization, company tier, and scarcity move them. For a scarce skill, the right target is a high percentile, not the median, because the median loses the people you actually want.
Salary by seniority.
Planning a hire like this? Tell us the role and we will map the right approach within a week.
Book a consultation →The AI and ML premium.
AI, ML, and applied research roles carry a clear premium over general software engineering at the same level, often 20 to 40% higher, because the qualified pool is far thinner. For frontier skills the band breaks entirely and becomes a negotiation. Budget for the premium rather than discovering it mid-search.
The city differential.
Pune and Hyderabad sit roughly 10 to 20% below Bangalore at senior levels. That gap is real but should be read alongside attrition: a lower Bangalore offer that you have to re-make in a year is more expensive than a competitive Pune offer that stays. The cheapest hire is the one you keep.
What this means for your budget.
Set bands by level and city, target the right percentile for each role's scarcity, and weight retention into the number, not just the hire. The India tech hiring market map gives the wider supply picture behind these figures.
Published benchmarks tell you the market; live placement data tells you what actually closes offers this quarter. We benchmark every India team build against current offers, so your bands reflect reality, not a year-old survey.
Where a specialist partner changes the outcome.
The decisions that make or break an India team are made in the first ninety days. A partner who has built teams before prevents each mistake from being discovered the expensive way.
City strategy → Bangalore, Pune and Hyderabad compared on depth, cost and attrition for your roles.
Leadership first → The India lead is hired through executive search before any pod.
Operating model → EOR, entity or both, sequenced to headcount. See India team build.
Notice and retention → Candidates are managed through 60 to 90 day notice periods, with counter-offers mapped early.
Discuss a mandate →Real mandates, real numbers.
A first technology team in Mumbai with no prior operating footprint and sourcing restrictions that ruled out several obvious talent pools.
Planning your India team?
If you are hiring your first India employees, choosing a city or moving from an EOR to your own entity, we can map the right sequence for your stage before any commercial conversation.
A senior team member responds within one business day. No pitch deck, no obligation.