Practical notes from the engineers who build agents, copilots and AI products.
Hire in Delhi NCR when AI is a permanent part of your product and you can fund a pod for three years. Use an agency when you need a working system this quarter and cannot yet describe the second one. Most NCR companies end up with both: a small owning team and a partner who builds.
Count the decision in months before you count it in rupees. An in-house Chennai pod reaches production roughly nine months after the requisition opens; a scoped agency build reaches it in six to sixteen weeks. Hire when AI is a permanent surface in your product, contract when a system has a finish line.
Hire in Pune when you have a permanent stream of AI work, a senior engineer who can interview for it and eighteen months of patience. Use an agency when you need a production system this quarter. Most Pune companies blend the two: an agency ships the first system, one internal engineer inherits it.
Hire in London when you are buying judgement you need permanently and can pay London rates for it. Use an agency when you are buying a delivered outcome against a date. A London AI hire is realistically six to nine months from decision to first production system once notice periods are counted.
In Dubai the deciding factor is usually time, not money. A permanent AI hire typically takes four to eight months once sourcing, notice periods and visa processing are counted, while a fixed-price agency build starts within a fortnight. Hire when the work is permanent; buy delivery when the date is.
Most first AI projects for New York companies land between $6,250 for a three-week proof and $45,500 for an AI-accelerated MVP, with larger platform builds running from $42,000. Budget three numbers, not one: the build, the monthly run and the cost of changing it later.
Hire AI engineers in New York when AI is the product itself and you can fund a permanent team through a slow market. Use an agency when you need a working system inside a quarter. Most companies blend the two: an agency builds and proves the first system, an in-house owner runs it.
Score New York AI development companies on four things: evidence of systems running in production, a written fixed price and date, contract terms that assign code, prompts and infrastructure to you, and a named support plan. Demand the evidence before the second call and most shortlists halve.
Retrieval-augmented generation finds the relevant few thousand tokens and sends only those to the model. A long context window sends everything and lets the model find them. RAG wins on cost, latency and corpus size; long context wins on simplicity and on documents that must be read whole.