July 10, 2026
Roles, ratios and sequencing for a small applied AI team inside a capability centre, including the evaluation ownership most teams forget and the hiring order that matters.
Senior AI and machine learning hiring has become the binding constraint on many US product roadmaps, not because the talent does not exist but because domestic hiring timelines outrun the plans that depend on them. This category covers where applied AI talent is actually available, how India compares with the US and Eastern Europe on depth, speed and cost, the specific roles a functioning agentic AI team needs, and how to structure that team so it ships to production rather than producing demos.
June 14, 2026
Agentic systems fail differently from conventional software. The roles a team needs to build and operate them, including the evaluation and safety ownership most plans omit.
May 28, 2026
How to compare AI engineering cost between the US and India on a like for like basis: what to include, why salary comparisons mislead, and the costs that decide the outcome.
May 4, 2026
A structural comparison of three markets for senior applied AI engineering: depth of pool, production experience, time zone fit, retention dynamics and what each is genuinely best for.
April 15, 2026
AI roadmaps are constrained by senior hiring, not by budget or tooling. Why the shortage is concentrated at the senior end, and the structural options for working around it.