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The Real Economics of a $1,900/Month Engineer

Our backend + AI engineers cost clients $1,900 a month. US buyers hear that and ask what's wrong. Nothing is wrong — the math is just usually hidden. Here is ours, published: the compensation bands, the delivery layer, and why we chose a thin margin over an opaque one.

Vikas Chamarthi
7 min read
PricingTransparencyAgencyIndiaEngineering Teams
The Real Economics of a $1,900/Month Engineer

Our backend + AI engineers cost clients $1,900 a month, all-in. When a US or European buyer sees that number, the first reaction is rarely excitement. It is suspicion. What's wrong with it?

Nothing is wrong with it. The math is just usually hidden. So here is ours.

The whole calculation, in four lines

  • A senior backend + AI engineer at NavyaAI is compensated at ₹1,50,000 per month. That band sits above the Indian services-industry median — deliberately.
  • At the exchange rate we publish on the pricing page, that is roughly $1,574.
  • We add a flat 20% delivery layer: $315.
  • Round to the nearest $100: $1,900 per month. That is the invoice.

Every role on our dedicated team page works the same way, and the calculator there shows the rupee figure behind every price. You do not have to trust the summary in this post. You can check it.

Why we publish this

We are an India-based engineering company selling to the US, UK, EU, and Australia. That means we start every relationship with a trust deficit. The usual response to a trust deficit is to hide the things that trigger questions — bury the geography, quote US-adjacent rates, hope nobody asks where the margin goes.

We tried a version of that for about a day. The prices looked plausible and felt fake, because buyers know Indian agencies exist. Pretending otherwise doesn't remove the question; it just moves it to the first sales call, where it becomes what else aren't they telling me?

The alternative is to make the question boring. Publish the compensation bands. Publish the layer. Itemize both on the invoice. When the math is on the table, "why so cheap?" has a one-line answer: geography, priced in the open.

What the 20% actually pays for

The delivery layer is not decoration on top of a salary. It covers the parts of an engagement that make a single engineer dependable:

  • Vetting and the bench. The engineer you get was selected, and there is a bench behind the seat. If it isn't working, we swap the seat at no cost — that guarantee has to be funded.
  • Technical oversight. Founder-level review on architecture and the hard calls. No junior-heavy pyramid hiding behind a senior title.
  • Delivery tooling. Every engagement ships daily written progress — tasks, commits, blockers, spend — generated by our own tracking and read by a human before it reaches you.
  • Payroll operations. Contracts, compliance, and the unglamorous machinery of employing people properly.

Twenty percent is a thin layer for all of that. We chose thin on purpose: the strategy is that transparency wins deals that markup would lose. Time will tell whether that is brave or naive. Either way, you can see it.

The industry norm we are pricing against

Vetted talent marketplaces quote $55 to $200 per hour for comparable engineers. The split between what the client pays and what the engineer receives is private, and independent reviews of the biggest platforms estimate that 40–60% of the invoice never reaches the engineer.

That model is not evil. It is just opaque, and opacity has a cost the client eventually pays: engineers who feel the gap between their pay and their bill rate leave, and continuity leaves with them.

Which is the other half of our math.

Why above-median compensation is the load-bearing decision

The rupee figure is the part of this system that cannot be faked. We pay above the Indian services-industry median because retention is the entire product. A dedicated engineer who leaves mid-engagement costs the client context, momentum, and trust — and costs us the swap guarantee we funded from that thin layer.

Paying well in-market, keeping the delivery layer visible, and working real overlap hours with client timezones is not a growth hack. It is just the configuration where everyone's incentives point the same direction: the engineer is paid properly, the client can audit the price, and we earn the difference by making delivery dependable rather than by hiding a spread.

Autonomy without control becomes risk. Intelligence without governance becomes liability. The same principle applies to pricing: a price without visible math becomes a suspicion.

Check it yourself

The team plan calculator shows every role, the compensation band behind it in rupees, the 20% layer, and the monthly total — before you ever talk to us. If the math doesn't hold up under your inspection, that is exactly what the inspection is for.

FAQ

Common questions

Why is a $1,900/month engineer not a quality problem?

Because the price is geography plus transparency, not seniority. The engineer behind that price is paid ₹1,50,000 per month — above the Indian services-industry median — which converts to roughly $1,574. NavyaAI adds a flat 20% delivery layer and rounds to the nearest $100. The cost advantage is where the engineer lives, not what the engineer knows.

What does NavyaAI's 20% delivery layer cover?

Vetting, technical oversight, the replacement guarantee, delivery tooling including daily written progress reports, and payroll operations. It is itemized on every invoice, so clients always see the compensation line and the delivery line separately.

How does this compare to staff-augmentation platform pricing?

Vetted marketplaces quote $55–200 per hour for comparable talent and keep the split between engineer and platform private. Independent reviews estimate 40–60% of those rates never reach the engineer. NavyaAI publishes the split instead: the compensation band and a flat 20% layer.