{"id":26567,"date":"2026-09-29T09:53:02","date_gmt":"2026-09-29T15:53:02","guid":{"rendered":"https:\/\/fastdolphin.com\/?p=26567"},"modified":"2026-09-29T09:57:05","modified_gmt":"2026-09-29T15:57:05","slug":"generative-ai-developers-latin-america","status":"publish","type":"post","link":"https:\/\/fastdolphin.com\/pt\/blog\/generative-ai-developers-latin-america\/","title":{"rendered":"Generative AI Developers in Latin America: Where the Talent Is and What It Costs"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"26567\" class=\"elementor elementor-26567\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-98f8a07 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"98f8a07\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-606a01c\" data-id=\"606a01c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-705bd71 elementor-widget elementor-widget-theme-post-title elementor-page-title elementor-widget-heading\" data-id=\"705bd71\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"theme-post-title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Generative AI Developers in Latin America: Where the Talent Is and What It Costs<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c3e9257 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c3e9257\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-09592f1\" data-id=\"09592f1\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f33367b elementor-widget elementor-widget-post-info\" data-id=\"f33367b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"post-info.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-inline-items elementor-icon-list-items elementor-post-info\">\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-repeater-item-18a10fd elementor-inline-item\" itemprop=\"datePublished\">\n\t\t\t\t\t\t<a href=\"https:\/\/fastdolphin.com\/pt\/blog\/2026\/09\/29\/\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-calendar\"><\/i>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text elementor-post-info__item elementor-post-info__item--type-date\">\n\t\t\t\t\t\t\t\t\t\t<time>setembro 29, 2026<\/time>\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t<\/li>\n\t\t\t\t<li class=\"elementor-icon-list-item elementor-repeater-item-a9e0d52 elementor-inline-item\" itemprop=\"author\">\n\t\t\t\t\t\t<a href=\"https:\/\/fastdolphin.com\/pt\/blog\/author\/fdblog\/\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-user-circle\"><\/i>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text elementor-post-info__item elementor-post-info__item--type-author\">\n\t\t\t\t\t\t\t\t\t\tFast Dolphin\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t<\/li>\n\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-51e667d elementor-widget elementor-widget-image\" data-id=\"51e667d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"450\" src=\"https:\/\/fastdolphin.com\/wp-content\/uploads\/2026\/09\/teamworking-colleagues-inspect-data-center-used-machine-learning-1.jpg\" class=\"attachment-full size-full wp-image-26568\" alt=\"teamworking-colleagues-inspect-data-center-used-machine-learning\" srcset=\"https:\/\/fastdolphin.com\/wp-content\/uploads\/2026\/09\/teamworking-colleagues-inspect-data-center-used-machine-learning-1.jpg 800w, https:\/\/fastdolphin.com\/wp-content\/uploads\/2026\/09\/teamworking-colleagues-inspect-data-center-used-machine-learning-1-300x169.jpg 300w, https:\/\/fastdolphin.com\/wp-content\/uploads\/2026\/09\/teamworking-colleagues-inspect-data-center-used-machine-learning-1-768x432.jpg 768w, https:\/\/fastdolphin.com\/wp-content\/uploads\/2026\/09\/teamworking-colleagues-inspect-data-center-used-machine-learning-1-18x10.jpg 18w\" sizes=\"(max-width: 800px) 100vw, 800px\" data-id=\"26568\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c1e0e91 elementor-widget elementor-widget-text-editor\" data-id=\"c1e0e91\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>A chief technology officer (CTO) greenlights a generative artificial intelligence (AI) roadmap, then finds out how few people can actually build it. The US market for engineers who have shipped retrieval-augmented systems, fine-tuned an open model, or run an evaluation pipeline past a demo is thin, and it prices accordingly.<\/p>\n<p>Latin America has become the default answer for teams that need senior technical talent without the wait or the price tag of a US hire, and without the time zone friction that comes with offshore markets. The open question isn&#8217;t whether the talent exists there. It&#8217;s how deep the generative AI talent pool specifically runs, and what a realistic budget looks like.<\/p>\n<p>This guide breaks down where generative AI and large language model (LLM) talent is concentrated across Latin America, what it actually costs at each seniority level, and how the hiring timeline compares to a US search that can stall for months.<\/p>\n<h2><b style=\"color: #808080; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';\">Key Takeaways<\/b><\/h2>\n<ul style=\"margin: 0; padding-left: 22px;\">\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Generative AI and LLM engineers in Latin America typically cost 40% to 55% less than US-based hires at the same seniority level, without giving up time zone overlap.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Mexico, Brazil, Colombia, and Argentina each host meaningful generative AI talent pools, with Mexico posting the fastest year-over-year growth in AI upskilling anywhere in the region.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Senior generative AI searches in the US routinely stall well past 90 days once a role is mis-scoped, a risk nearshore staffing largely sidesteps through narrower, role-specific vetting.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Temporary Staffing covers most generative AI hiring needs, from a single RAG engineer to a full pod, with Direct Hire reserved for permanent platform leadership roles.<\/span><\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5256f5d elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"5256f5d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><b>What &#8220;Generative AI Developer&#8221; Actually Means<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Before comparing rates, it&#8217;s worth being precise about what you&#8217;re hiring for, because &#8220;generative AI developer&#8221; gets used for at least three different jobs.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">An LLM engineer typically works at the application layer: wiring retrieval pipelines, managing prompt versions, and integrating a foundation model like GPT-4, Claude, or Llama into a product. A generative AI engineer is often the same job under a different title, though the term also gets applied to fine-tuning specialists who work directly with open-weight models. A machine learning (ML) engineer is a distinct discipline that includes training and deploying custom models from the ground up, not just building on top of one that already exists.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The overlap causes real hiring pain. A job description written for one profile pulls in resumes for all three, and if screening doesn&#8217;t separate them, a team ends up with someone who has wired an application programming interface (API) call but never owned a production system through a traffic spike. That&#8217;s true in the US market and just as true when hiring from Latin America. Whether the search runs domestically or nearshore, defining which of these three roles a team actually needs is the step that saves the most time later.<\/span><\/p>\n<h2><b>Where the Generative AI Talent Is in Latin America<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Generative AI talent in Latin America isn&#8217;t evenly spread. Four countries do most of the heavy lifting.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Mexico currently has the fastest-growing generative AI learning curve in the region.<\/span><a href=\"https:\/\/mexicobusiness.news\/talent\/news\/mexico-leads-latin-america-generative-ai-courses-coursera\"> <span style=\"font-weight: 400;\">Coursera&#8217;s 2025 Global Skills Report found that generative AI course enrollments in Mexico grew 356% year over year<\/span><\/a><span style=\"font-weight: 400;\">, the fastest growth rate anywhere in Latin America and well above the 195% global average. That kind of growth doesn&#8217;t happen without a workforce actively retraining toward AI-adjacent skills, and it shows up in the candidate pool for GenAI and LLM roles coming out of Mexico City, Guadalajara, and Monterrey.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Brazil brings the largest overall developer population in the region, with Sao Paulo functioning as its primary hub for machine learning and data engineering work. Colombia has built a strong reputation for backend and platform engineering out of Bogota and Medellin, increasingly extending into applied AI roles that sit close to product teams. Argentina&#8217;s universities in Buenos Aires and Cordoba produce a disproportionate share of the region&#8217;s research-oriented ML talent, which matters for fine-tuning and evaluation work that leans more academic.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">None of this means every Latin American engineer with &#8220;AI&#8221; on a resume has shipped a production system. The same screening discipline that applies to any senior technical search, verifying what someone actually built rather than which tools they&#8217;ve touched, matters more here than almost anywhere else in the stack. That screening step, more than country selection on its own, is what determines whether a generative AI hire from Latin America works out.<\/span><\/p>\n<h2><b>What Generative AI Engineers Cost: Latin America vs. the US<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">US pay for generative AI talent has climbed fast enough that even well-funded teams struggle to budget for it accurately.<\/span><a href=\"https:\/\/www.kore1.com\/how-to-hire-generative-ai-engineer-2026\/\"> <span style=\"font-weight: 400;\">KORE1&#8217;s 2026 hiring guide for generative AI engineers<\/span><\/a><span style=\"font-weight: 400;\"> puts US base salaries at $145,000 to $215,000 for mid-level roles and $230,000 to $340,000 for senior ones, before benefits, payroll tax, and recruiting fees get added on top. For a broader reference point, the<\/span><a href=\"https:\/\/www.bls.gov\/ooh\/computer-and-information-technology\/computer-and-information-research-scientists.htm\"> <span style=\"font-weight: 400;\">US Bureau of Labor Statistics (BLS)<\/span><\/a><span style=\"font-weight: 400;\"> reports a median annual wage of $140,910 for computer and information research scientists as of May 2024, with the top 10% earning more than $232,120, a category that overlaps heavily with applied AI research work.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Latin America runs meaningfully lower at every level.<\/span><a href=\"https:\/\/www.howdy.com\/blog\/latam-data-science-ml-ai-engineer-salary-benchmarks\"> <span style=\"font-weight: 400;\">Payroll data from Howdy<\/span><\/a><span style=\"font-weight: 400;\">, drawn from thousands of placements across the region, puts mid-level data science, ML, and AI engineers at $89,000 to $105,000 all-in per year, and senior engineers at $106,000 to $155,000. Run the math against the KORE1 US bands and the gap holds at roughly 40% to 55% less for the same seniority level, all-in cost against all-in cost.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5ddbb37 elementor-widget elementor-widget-html\" data-id=\"5ddbb37\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div style=\"max-width:920px;margin:32px auto;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;\">\n  <style>\n    .ndt3g-caption { font-size:17px; font-weight:700; color:#1e1e1e; margin:0 0 12px; }\n    .ndt3g-table { width:100%; border-collapse:collapse; border-spacing:0; font-size:14.5px; color:#1e1e1e; }\n    .ndt3g-table th, .ndt3g-table td { border:0; border-right:0; border-left:0; }\n    .ndt3g-table th { text-align:left; background:#f0f0f0; font-weight:700; padding:12px 16px; border-bottom:2px solid #cfcfcf; }\n    .ndt3g-table td { padding:14px 16px; border-bottom:1px solid #e4e4e4; vertical-align:top; }\n    .ndt3g-table tr:last-child td { border-bottom:none; }\n    .ndt3g-table tr.ndt3g-featured td { background:#eef8fa; }\n    .ndt3g-table td:first-child, .ndt3g-table th:first-child { font-weight:700; width:26%; }\n    .ndt3g-wrap { border:1px solid #d9d9d9; border-radius:10px; overflow:hidden; }\n    .ndt3g-foot { padding:12px 16px; font-size:12px; color:#888888; background:#fafafa; border-top:1px solid #e4e4e4; }\n    .ndt3g-foot a { color:#0e7490; text-decoration:underline; }\n\n    .ndt3g-cards { display:none; }\n    @media (max-width:640px) {\n      .ndt3g-table { display:none; }\n      .ndt3g-cards { display:block; }\n      .ndt3g-card { padding:18px 18px 16px; border-bottom:1px solid #d9d9d9; background:#ffffff; }\n      .ndt3g-card:last-child { border-bottom:none; }\n      .ndt3g-card.ndt3g-featured { background:#eef8fa; }\n      .ndt3g-card-title { margin:0 0 14px; font-size:16px; font-weight:700; color:#1e1e1e; line-height:1.35; }\n      .ndt3g-card-row { margin-bottom:12px; }\n      .ndt3g-card-row:last-child { margin-bottom:0; }\n      .ndt3g-card-label { display:block; font-size:11px; font-weight:700; text-transform:uppercase; letter-spacing:0.04em; color:#8b93a1; margin-bottom:3px; }\n      .ndt3g-card-value { display:block; font-size:14.5px; color:#1e1e1e; line-height:1.45; }\n    }\n  <\/style>\n  <p class=\"ndt3g-caption\">Generative AI \/ LLM Engineer Rates: Latin America vs. US<\/p>\n  <div class=\"ndt3g-wrap\">\n    <table class=\"ndt3g-table\">\n      <thead>\n        <tr>\n          <th>Seniority<\/th>\n          <th>US base salary<\/th>\n          <th>Latin America, all-in<\/th>\n          <th>Approx. savings<\/th>\n        <\/tr>\n      <\/thead>\n      <tbody>\n        <tr>\n          <td>Mid-level GenAI \/ LLM engineer<\/td>\n          <td>$145,000 to $215,000<\/td>\n          <td>$89,000 to $105,000<\/td>\n          <td>About 39% to 51% less<\/td>\n        <\/tr>\n        <tr class=\"ndt3g-featured\">\n          <td>Senior GenAI \/ LLM engineer<\/td>\n          <td>$230,000 to $340,000<\/td>\n          <td>$106,000 to $155,000<\/td>\n          <td>About 54% less<\/td>\n        <\/tr>\n      <\/tbody>\n    <\/table>\n    <div class=\"ndt3g-cards\">\n      <div class=\"ndt3g-card\">\n        <p class=\"ndt3g-card-title\">Mid-level GenAI \/ LLM engineer<\/p>\n        <div class=\"ndt3g-card-row\">\n          <span class=\"ndt3g-card-label\">US base salary<\/span>\n          <span class=\"ndt3g-card-value\">$145,000 to $215,000<\/span>\n        <\/div>\n        <div class=\"ndt3g-card-row\">\n          <span class=\"ndt3g-card-label\">Latin America, all-in<\/span>\n          <span class=\"ndt3g-card-value\">$89,000 to $105,000<\/span>\n        <\/div>\n        <div class=\"ndt3g-card-row\">\n          <span class=\"ndt3g-card-label\">Approx. savings<\/span>\n          <span class=\"ndt3g-card-value\">About 39% to 51% less<\/span>\n        <\/div>\n      <\/div>\n      <div class=\"ndt3g-card ndt3g-featured\">\n        <p class=\"ndt3g-card-title\">Senior GenAI \/ LLM engineer<\/p>\n        <div class=\"ndt3g-card-row\">\n          <span class=\"ndt3g-card-label\">US base salary<\/span>\n          <span class=\"ndt3g-card-value\">$230,000 to $340,000<\/span>\n        <\/div>\n        <div class=\"ndt3g-card-row\">\n          <span class=\"ndt3g-card-label\">Latin America, all-in<\/span>\n          <span class=\"ndt3g-card-value\">$106,000 to $155,000<\/span>\n        <\/div>\n        <div class=\"ndt3g-card-row\">\n          <span class=\"ndt3g-card-label\">Approx. savings<\/span>\n          <span class=\"ndt3g-card-value\">About 54% less<\/span>\n        <\/div>\n      <\/div>\n    <\/div>\n    <div class=\"ndt3g-foot\">Sources: KORE1, \"How to Hire a Generative AI Engineer: 2026 Complete Guide\" (US base salary bands); Howdy, \"LatAm Data Science, ML &amp; AI Engineer Salary Benchmarks 2026\" (Latin America all-in cost). Savings are approximate, calculated from the ranges shown; Latin America figures reflect all-in employer cost, and AI\/ML specialists there often carry a premium over general software engineering rates.<\/div>\n  <\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a239d8c elementor-widget elementor-widget-text-editor\" data-id=\"a239d8c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Two things are worth flagging before building a budget around these ranges. First, AI and ML specialists in Latin America typically carry a premium over general software engineering rates, sometimes 15% or more, because demand for the skill set is outpacing supply there too. Second, vendor payroll data varies by methodology: some report take-home salary, others report fully loaded employer cost, so treat these ranges as directional. Fast Dolphin&#8217;s own senior placement data across Mexico, Colombia, and Brazil, detailed in the<\/span><a href=\"https:\/\/fastdolphin.com\/real-cost-of-a-us-hire-vs-nearshore-staffing\/\"> <span style=\"font-weight: 400;\">Nearshore Cost Advantage Report<\/span><\/a><span style=\"font-weight: 400;\">, tracks closely with these figures for technical roles more broadly.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6cc4854 elementor-widget elementor-widget-heading\" data-id=\"6cc4854\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">See What a Generative AI Team From Latin America Actually Costs<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-751e78a elementor-widget elementor-widget-text-editor\" data-id=\"751e78a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"font-claude-response-body break-words whitespace-normal\"><strong>Run your specific roles through Fast Dolphin&#8217;s staffing calculator and get a real, all-in number instead of an industry average.<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-178a885 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"178a885\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/fastdolphin.com\/it-staffing-calculator\/\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Calculate My Savings<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7bc852e elementor-widget elementor-widget-text-editor\" data-id=\"7bc852e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><b>Why the Old Hiring Playbook Doesn&#8217;t Work for Generative AI Roles<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Filling a generic engineering requisition and filling a generative AI one are not the same problem, even though most hiring processes treat them identically.<\/span><\/p>\n<p><a href=\"https:\/\/www.joveo.com\/blog\/time-to-fill-vs-time-to-hire\/\"><span style=\"font-weight: 400;\">The Society for Human Resource Management&#8217;s (SHRM) 2026 benchmarking data puts the median time to fill a nonexecutive role at 39 calendar days<\/span><\/a><span style=\"font-weight: 400;\">, down from 44 days the year before. That figure describes hiring in general. Generative AI roles behave differently. KORE1&#8217;s own placement data shows that a generative AI search that isn&#8217;t scoped correctly, one job description trying to cover an LLM application engineer, a retrieval-augmented generation (RAG) specialist, and a machine learning operations (MLOps) role at once, regularly drags past 90 days, because the resumes that come in look identical on paper and screening takes far longer to sort out who actually shipped something.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Internal teams absorb the gap in the meantime, and that&#8217;s rarely free. Engineers already stretched across a product roadmap get pulled into extra screening rounds, or the roadmap itself slips while the search runs. Offshore staffing, the traditional fallback for extra engineering capacity, introduces a different tradeoff: the time zone gap common with teams in India or Eastern Europe turns a fast-moving generative AI project, one that depends on same-day iteration between a product owner and an engineer, into a series of overnight handoffs. That works fine for well-specified, async-friendly work. It works less well for a retrieval pipeline that needs debugging in real time.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Latin America closes both gaps at once: same-day overlap with US business hours, and a narrower, faster vetting process built around the specific role rather than a generic AI requisition.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8cb903b elementor-widget elementor-widget-html\" data-id=\"8cb903b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div style=\"max-width:900px;margin:32px auto;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;\">\n  <style>\n    .ndi5g-card { background:#ffffff; border:1px solid #eaeaea; border-radius:16px; padding:32px 36px; box-shadow:0 2px 10px rgba(20,20,20,0.06); box-sizing:border-box; }\n    .ndi5g-kicker { margin:0 0 10px; font-size:12px; font-weight:700; letter-spacing:0.07em; text-transform:uppercase; color:#1f2733; }\n    .ndi5g-headline { margin:0 0 26px; font-size:21px; font-weight:700; color:#14181f; line-height:1.3; }\n    .ndi5g-grid { display:grid; grid-template-columns:1fr 1fr; gap:16px; margin-bottom:22px; }\n    .ndi5g-minicard { border:1px solid #e9e9e9; border-radius:12px; background:#fafafa; padding:20px 18px; box-sizing:border-box; }\n    .ndi5g-minicard.ndi5g-featured { border-color:#0e7490; background:#f0fafc; }\n    .ndi5g-num { margin:0 0 8px; font-size:26px; font-weight:800; color:#1f2733; line-height:1.15; }\n    .ndi5g-num.ndi5g-teal { color:#0e7490; }\n    .ndi5g-label { margin:0; font-size:13px; color:#5b6472; line-height:1.45; }\n    .ndi5g-rule { border:none; border-top:1px solid #e6e6e6; margin:0 0 16px; }\n    .ndi5g-sources { margin:0; font-size:12px; color:#8b93a1; line-height:1.5; }\n    @media (max-width:560px) {\n      .ndi5g-grid { grid-template-columns:1fr; gap:14px; }\n      .ndi5g-card { padding:26px 22px; }\n    }\n  <\/style>\n  <div class=\"ndi5g-card\">\n    <p class=\"ndi5g-kicker\">Generative AI Hiring, Latin America vs. US<\/p>\n    <p class=\"ndi5g-headline\">The GenAI hiring math, in four numbers<\/p>\n    <div class=\"ndi5g-grid\">\n      <div class=\"ndi5g-minicard\">\n        <p class=\"ndi5g-num\">356%<\/p>\n        <p class=\"ndi5g-label\">Year-over-year growth in generative AI course enrollments in Mexico in 2025, the fastest of any country in Latin America<\/p>\n      <\/div>\n      <div class=\"ndi5g-minicard ndi5g-featured\">\n        <p class=\"ndi5g-num ndi5g-teal\">~54%<\/p>\n        <p class=\"ndi5g-label\">Lower all-in cost for a senior generative AI or LLM engineer in Latin America versus a US-based hire at the same level<\/p>\n      <\/div>\n      <div class=\"ndi5g-minicard\">\n        <p class=\"ndi5g-num\">39 days<\/p>\n        <p class=\"ndi5g-label\">Median time to fill a standard US role in 2026, the baseline that generative AI searches routinely blow past<\/p>\n      <\/div>\n      <div class=\"ndi5g-minicard\">\n        <p class=\"ndi5g-num\">90+ days<\/p>\n        <p class=\"ndi5g-label\">How long a mis-scoped US generative AI search can stall once every resume on the pile looks identical on paper<\/p>\n      <\/div>\n    <\/div>\n    <hr class=\"ndi5g-rule\">\n    <p class=\"ndi5g-sources\">Sources: Coursera 2025 Global Skills Report &middot; Howdy LatAm Data Science, ML &amp; AI Engineer Salary Benchmarks 2026 &middot; SHRM 2026 Recruiting Benchmarking &middot; KORE1 Generative AI Engineer Hiring Guide 2026<\/p>\n  <\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f913248 elementor-widget elementor-widget-text-editor\" data-id=\"f913248\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><b>How Fast Dolphin Helps You Hire Generative AI Developers From Latin America<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The pain points that make US generative AI hiring hard, cost, speed, and internal capacity, are exactly what nearshore staffing through Fast Dolphin&#8217;s<\/span><a href=\"https:\/\/fastdolphin.com\/technologies\/data-ai\/\"> <span style=\"font-weight: 400;\">AI staff augmentation<\/span><\/a><span style=\"font-weight: 400;\"> practice is built to solve.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Most generative AI hiring needs fit under<\/span><a href=\"https:\/\/fastdolphin.com\/services\/temporary-staffing\/\"> <span style=\"font-weight: 400;\">Temporary Staffing<\/span><\/a><span style=\"font-weight: 400;\">, Fast Dolphin&#8217;s primary engagement model. It covers a single RAG engineer brought on for a defined project, a fine-tuning specialist added ahead of a model launch, or a full pod scaled up around a roadmap milestone and back down once it ships, without the fixed headcount commitment a generative AI initiative still proving out its scope usually can&#8217;t justify. Within that same model sits contract-to-hire, a structured trial period rather than a separate service, useful when a team wants to evaluate a generative AI engineer on a live project before converting the role to permanent.<\/span><\/p>\n<p><a href=\"https:\/\/fastdolphin.com\/services\/permanent-staffing\/\"><span style=\"font-weight: 400;\">Direct Hire<\/span><\/a><span style=\"font-weight: 400;\"> fits the roles that are clearly permanent from day one, typically a platform lead or principal engineer who will own the generative AI architecture long-term rather than execute against someone else&#8217;s roadmap.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Either way, the vetting is built around the distinction covered earlier in this guide: an LLM application engineer, a RAG specialist, and a machine learning engineer are different searches, and Fast Dolphin screens for the one a role actually needs instead of sending a generic &#8220;AI&#8221; shortlist. Candidates come from Mexico, Brazil, Colombia, and Argentina, working in US time zones, with shortlists submitted in 24 to 48 hours instead of the weeks a mis-scoped search can burn. That combination, defined engagement models, role-specific screening, and same-timezone collaboration, turns a generative AI roadmap into a staffing plan instead of a multi-month search.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a66eb82 elementor-widget elementor-widget-heading\" data-id=\"a66eb82\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Ready to Build Your Generative AI Team?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-202864a elementor-widget elementor-widget-text-editor\" data-id=\"202864a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Tell us the roles you&#8217;re trying to fill and we&#8217;ll put together a shortlist of vetted generative AI and LLM engineers from Latin America.<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a73e744 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"a73e744\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/fastdolphin.com\/contact\/\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Contact Us<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aa80161 elementor-widget elementor-widget-html\" data-id=\"aa80161\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What do generative AI developers in Latin America cost compared to the US?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Mid-level generative AI and LLM engineers in Latin America typically run $89,000 to $105,000 all-in per year, and senior engineers $106,000 to $155,000, compared with US base salaries of $145,000 to $215,000 and $230,000 to $340,000 at the same levels. That works out to roughly 40% to 55% less for the same seniority.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What's the difference between a generative AI engineer, an LLM engineer, and a machine learning engineer?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"An LLM engineer usually works at the application layer, integrating an existing foundation model into a product. Generative AI engineer often describes the same work, though it also covers fine-tuning specialists who work with open-weight models. A machine learning engineer is a distinct role that includes training and deploying custom models rather than building on top of one that already exists.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Which Latin American countries have the strongest generative AI talent?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Mexico, Brazil, Colombia, and Argentina each host meaningful talent pools. Mexico currently has the fastest-growing generative AI learning curve in the region, Brazil the largest overall developer population, Colombia a strong applied engineering base out of Bogota and Medellin, and Argentina a research-heavy talent pool suited to fine-tuning and evaluation work.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How fast can I hire generative AI engineers from Latin America?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Fast Dolphin submits a vetted shortlist in 24 to 48 hours. Full placement timing depends on interview scheduling on the client side, but starting from a shortlist already screened for the specific generative AI role needed cuts out most of the delay that stalls a mis-scoped US search.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Should I use Temporary Staffing or Direct Hire for a generative AI role?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Temporary Staffing covers most generative AI hiring, including project-based roles and contract-to-hire arrangements. Direct Hire fits a role that's clearly permanent from the start, such as a platform lead who will own the generative AI architecture long-term.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Will a generative AI engineer from Latin America work in my time zone?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes. Engineers in Mexico, Colombia, and much of Central America operate within one to two hours of US time zones, and Fast Dolphin's screening includes a language evaluation to confirm English proficiency before any candidate goes on a shortlist.\"\n      }\n    }\n  ]\n}\n<\/script>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-86136b4 elementor-widget elementor-widget-text-editor\" data-id=\"86136b4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><span style=\"color: #808080;\"><b>Frequently Asked Questions<\/b><\/span><\/h2>\n<h3><b>What do generative AI developers in Latin America cost compared to the US?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Mid-level generative AI and LLM engineers in Latin America typically run $89,000 to $105,000 all-in per year, and senior engineers $106,000 to $155,000, compared with US base salaries of $145,000 to $215,000 and $230,000 to $340,000 at the same levels. That works out to roughly 40% to 55% less for the same seniority.<\/span><\/p>\n<h3><b>What&#8217;s the difference between a generative AI engineer, an LLM engineer, and a machine learning engineer?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">An LLM engineer usually works at the application layer, integrating an existing foundation model into a product. Generative AI engineer often describes the same work, though it also covers fine-tuning specialists who work with open-weight models. A machine learning engineer is a distinct role that includes training and deploying custom models rather than building on top of one that already exists.<\/span><\/p>\n<h3><b>Which Latin American countries have the strongest generative AI talent?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Mexico, Brazil, Colombia, and Argentina each host meaningful talent pools. Mexico currently has the fastest-growing generative AI learning curve in the region, Brazil the largest overall developer population, Colombia a strong applied engineering base out of Bogota and Medellin, and Argentina a research-heavy talent pool suited to fine-tuning and evaluation work.<\/span><\/p>\n<h3><b>How fast can I hire generative AI engineers from Latin America?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Fast Dolphin submits a vetted shortlist in 24 to 48 hours. Full placement timing depends on interview scheduling on the client side, but starting from a shortlist already screened for the specific generative AI role needed cuts out most of the delay that stalls a mis-scoped US search.<\/span><\/p>\n<h3><b>Should I use Temporary Staffing or Direct Hire for a generative AI role?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Temporary Staffing covers most generative AI hiring, including project-based roles and contract-to-hire arrangements. Direct Hire fits a role that&#8217;s clearly permanent from the start, such as a platform lead who will own the generative AI architecture long-term.<\/span><\/p>\n<h3><b>Will a generative AI engineer from Latin America work in my time zone?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Yes. Engineers in Mexico, Colombia, and much of Central America operate within one to two hours of US time zones, and Fast Dolphin&#8217;s screening includes a language evaluation to confirm English proficiency before any candidate goes on a shortlist.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-c830e71\" data-id=\"c830e71\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8fcdc9e elementor-widget elementor-widget-heading\" data-id=\"8fcdc9e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">SHARE ON<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d88ef03 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"d88ef03\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-381ece4 elementor-share-buttons--view-icon elementor-share-buttons--skin-minimal elementor-grid-3 elementor-share-buttons--shape-square elementor-share-buttons--color-official elementor-widget elementor-widget-share-buttons\" data-id=\"381ece4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"share-buttons.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-grid\" role=\"list\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-grid-item\" role=\"listitem\">\n\t\t\t\t\t\t<div class=\"elementor-share-btn elementor-share-btn_linkedin\" role=\"button\" tabindex=\"0\" aria-label=\"Share on linkedin\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-share-btn__icon\">\n\t\t\t\t\t\t\t\t<i class=\"fab fa-linkedin\" aria-hidden=\"true\"><\/i>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-grid-item\" role=\"listitem\">\n\t\t\t\t\t\t<div class=\"elementor-share-btn elementor-share-btn_facebook\" role=\"button\" tabindex=\"0\" aria-label=\"Share on facebook\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-share-btn__icon\">\n\t\t\t\t\t\t\t\t<i class=\"fab fa-facebook\" aria-hidden=\"true\"><\/i>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-grid-item\" role=\"listitem\">\n\t\t\t\t\t\t<div class=\"elementor-share-btn elementor-share-btn_x-twitter\" role=\"button\" tabindex=\"0\" aria-label=\"Share on x-twitter\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-share-btn__icon\">\n\t\t\t\t\t\t\t\t<i class=\"fab fa-x-twitter\" aria-hidden=\"true\"><\/i>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b56a17e elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"b56a17e\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1f48e72\" data-id=\"1f48e72\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2148aa4 elementor-widget elementor-widget-heading\" data-id=\"2148aa4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">RELATED ARTICLES<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7d3fb16 elementor-widget elementor-widget-hfe-basic-posts\" data-id=\"7d3fb16\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"hfe-basic-posts.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\n<div class=\"hfe-posts-grid\">\n\t\t\t<article class=\"hfe-post-card\">\n\t\t\t\t\t\t\t<div class=\"hfe-post-image\">\n\t\t\t\t\t<a href=\"https:\/\/fastdolphin.com\/pt\/blog\/nearshore-qa-automation-teams-improving-us-product-quality\/\" rel=\"bookmark\">\n\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"200\" src=\"https:\/\/fastdolphin.com\/wp-content\/uploads\/2026\/03\/interactive-business-is-future-shot-young-group-businesspeople-using-computer-while-working-office-night_590464-62700.jpg\" class=\"attachment-medium size-medium wp-post-image\" alt=\"Nearshore QA Automation Teams: Improving US Product Quality\" loading=\"lazy\" data-id=\"19694\" \/>\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\n\t\t\t<div class=\"hfe-post-content\">\n\t\t\t\t\t\t\t\t\t<h3 class=\"hfe-post-title\">\n\t\t\t\t\t\t<a href=\"https:\/\/fastdolphin.com\/pt\/blog\/nearshore-qa-automation-teams-improving-us-product-quality\/\" rel=\"bookmark\">\n\t\t\t\t\t\t\tNearshore QA Automation Teams: Improving US Product Quality\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/fastdolphin.com\/pt\/blog\/nearshore-qa-automation-teams-improving-us-product-quality\/\" class=\"hfe-read-more\" rel=\"bookmark\">\n\t\t\t\t\t\tRead More \u2192\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<article class=\"hfe-post-card\">\n\t\t\t\t\t\t\t<div class=\"hfe-post-image\">\n\t\t\t\t\t<a href=\"https:\/\/fastdolphin.com\/pt\/blog\/how-to-hire-nearshore-machine-learning-and-data-engineers-from-latin-america\/\" rel=\"bookmark\">\n\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"200\" src=\"https:\/\/fastdolphin.com\/wp-content\/uploads\/2026\/06\/it-expert-listening-music-using-artificial-intelligence-technology_compressed.jpg\" class=\"attachment-medium size-medium wp-post-image\" alt=\"How to Hire Nearshore Machine Learning and Data Engineers from Latin America\" loading=\"lazy\" data-id=\"24815\" \/>\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\n\t\t\t<div class=\"hfe-post-content\">\n\t\t\t\t\t\t\t\t\t<h3 class=\"hfe-post-title\">\n\t\t\t\t\t\t<a href=\"https:\/\/fastdolphin.com\/pt\/blog\/how-to-hire-nearshore-machine-learning-and-data-engineers-from-latin-america\/\" rel=\"bookmark\">\n\t\t\t\t\t\t\tHow to Hire Nearshore Machine Learning and Data Engineers from Latin America\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/fastdolphin.com\/pt\/blog\/how-to-hire-nearshore-machine-learning-and-data-engineers-from-latin-america\/\" class=\"hfe-read-more\" rel=\"bookmark\">\n\t\t\t\t\t\tRead More \u2192\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<article class=\"hfe-post-card\">\n\t\t\t\t\t\t\t<div class=\"hfe-post-image\">\n\t\t\t\t\t<a href=\"https:\/\/fastdolphin.com\/pt\/blog\/best-nearshore-it-engineering-staffing-companies-2026\/\" rel=\"bookmark\">\n\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"200\" src=\"https:\/\/fastdolphin.com\/wp-content\/uploads\/2026\/04\/modern-equipped-computer-lab_compressed.jpg\" class=\"attachment-medium size-medium wp-post-image\" alt=\"Best Nearshore IT &#038; Engineering Staffing Companies in 2026\" loading=\"lazy\" data-id=\"24656\" \/>\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\n\t\t\t<div class=\"hfe-post-content\">\n\t\t\t\t\t\t\t\t\t<h3 class=\"hfe-post-title\">\n\t\t\t\t\t\t<a href=\"https:\/\/fastdolphin.com\/pt\/blog\/best-nearshore-it-engineering-staffing-companies-2026\/\" rel=\"bookmark\">\n\t\t\t\t\t\t\tBest Nearshore IT &#038; Engineering Staffing Companies in 2026\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/fastdolphin.com\/pt\/blog\/best-nearshore-it-engineering-staffing-companies-2026\/\" class=\"hfe-read-more\" rel=\"bookmark\">\n\t\t\t\t\t\tRead More \u2192\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-adee530 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"adee530\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b7ff257\" data-id=\"b7ff257\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>A chief technology officer (CTO) greenlights a generative artificial intelligence (AI) roadmap, then finds out how few people can actually build it. The US market for engineers who have shipped retrieval-augmented systems, fine-tuned an open model, or run an evaluation pipeline past a demo is thin, and it prices accordingly. Latin America has become the [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":26568,"comment_status":"closed","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[53],"tags":[],"class_list":["post-26567","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sin-categoria-es"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Generative AI Developers in Latin America<\/title>\n<meta name=\"description\" content=\"What generative AI and LLM developers cost in Latin America, where the talent is concentrated, and how to hire them faster than the US market allows.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fastdolphin.com\/pt\/blog\/generative-ai-developers-latin-america\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Generative AI Developers in Latin America\" \/>\n<meta property=\"og:description\" content=\"What generative AI and LLM developers cost in Latin America, where the talent is concentrated, and how to hire them faster than the US market allows.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fastdolphin.com\/pt\/blog\/generative-ai-developers-latin-america\/\" \/>\n<meta property=\"og:site_name\" content=\"Fast Dolphin\" \/>\n<meta property=\"article:published_time\" content=\"2026-09-29T15:53:02+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-29T15:57:05+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/fastdolphin.com\/wp-content\/uploads\/2026\/09\/teamworking-colleagues-inspect-data-center-used-machine-learning-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"800\" \/>\n\t<meta property=\"og:image:height\" content=\"450\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Fast Dolphin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Fast Dolphin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. tempo de leitura\" \/>\n\t<meta name=\"twitter:data2\" content=\"12 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/fastdolphin.com\\\/blog\\\/generative-ai-developers-latin-america\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/fastdolphin.com\\\/blog\\\/generative-ai-developers-latin-america\\\/\"},\"author\":{\"name\":\"Fast Dolphin\",\"@id\":\"https:\\\/\\\/fastdolphin.com\\\/#\\\/schema\\\/person\\\/bbb7758588b8094d1b136f2daa613c5b\"},\"headline\":\"Generative AI Developers in Latin America: Where the Talent Is and What It Costs\",\"datePublished\":\"2026-09-29T15:53:02+00:00\",\"dateModified\":\"2026-09-29T15:57:05+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/fastdolphin.com\\\/blog\\\/generative-ai-developers-latin-america\\\/\"},\"wordCount\":2295,\"image\":{\"@id\":\"https:\\\/\\\/fastdolphin.com\\\/blog\\\/generative-ai-developers-latin-america\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/fastdolphin.com\\\/wp-content\\\/uploads\\\/2026\\\/09\\\/teamworking-colleagues-inspect-data-center-used-machine-learning-1.jpg\",\"articleSection\":[\"Sin categor\u00eda\"],\"inLanguage\":\"pt-BR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/fastdolphin.com\\\/blog\\\/generative-ai-developers-latin-america\\\/\",\"url\":\"https:\\\/\\\/fastdolphin.com\\\/blog\\\/generative-ai-developers-latin-america\\\/\",\"name\":\"Generative AI Developers in Latin America\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/fastdolphin.com\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/fastdolphin.com\\\/blog\\\/generative-ai-developers-latin-america\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/fastdolphin.com\\\/blog\\\/generative-ai-developers-latin-america\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/fastdolphin.com\\\/wp-content\\\/uploads\\\/2026\\\/09\\\/teamworking-colleagues-inspect-data-center-used-machine-learning-1.jpg\",\"datePublished\":\"2026-09-29T15:53:02+00:00\",\"dateModified\":\"2026-09-29T15:57:05+00:00\",\"author\":{\"@id\":\"https:\\\/\\\/fastdolphin.com\\\/#\\\/schema\\\/person\\\/bbb7758588b8094d1b136f2daa613c5b\"},\"description\":\"What generative AI and LLM developers cost in Latin America, where the talent is concentrated, and how to hire them faster than the US market allows.\",\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/fastdolphin.com\\\/blog\\\/generative-ai-developers-latin-america\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\\\/\\\/fastdolphin.com\\\/blog\\\/generative-ai-developers-latin-america\\\/#primaryimage\",\"url\":\"https:\\\/\\\/fastdolphin.com\\\/wp-content\\\/uploads\\\/2026\\\/09\\\/teamworking-colleagues-inspect-data-center-used-machine-learning-1.jpg\",\"contentUrl\":\"https:\\\/\\\/fastdolphin.com\\\/wp-content\\\/uploads\\\/2026\\\/09\\\/teamworking-colleagues-inspect-data-center-used-machine-learning-1.jpg\",\"width\":800,\"height\":450,\"caption\":\"teamworking-colleagues-inspect-data-center-used-machine-learning\"},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/fastdolphin.com\\\/#website\",\"url\":\"https:\\\/\\\/fastdolphin.com\\\/\",\"name\":\"Fast Dolphin\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/fastdolphin.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"pt-BR\"},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/fastdolphin.com\\\/#\\\/schema\\\/person\\\/bbb7758588b8094d1b136f2daa613c5b\",\"name\":\"Fast Dolphin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/626a760f57b01c36b76daba93e2a0c1bf1c82b00f0240de3da455b9485b66418?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/626a760f57b01c36b76daba93e2a0c1bf1c82b00f0240de3da455b9485b66418?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/626a760f57b01c36b76daba93e2a0c1bf1c82b00f0240de3da455b9485b66418?s=96&d=mm&r=g\",\"caption\":\"Fast Dolphin\"},\"url\":\"https:\\\/\\\/fastdolphin.com\\\/pt\\\/blog\\\/author\\\/fdblog\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Generative AI Developers in Latin America","description":"What generative AI and LLM developers cost in Latin America, where the talent is concentrated, and how to hire them faster than the US market allows.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/fastdolphin.com\/pt\/blog\/generative-ai-developers-latin-america\/","og_locale":"pt_BR","og_type":"article","og_title":"Generative AI Developers in Latin America","og_description":"What generative AI and LLM developers cost in Latin America, where the talent is concentrated, and how to hire them faster than the US market allows.","og_url":"https:\/\/fastdolphin.com\/pt\/blog\/generative-ai-developers-latin-america\/","og_site_name":"Fast Dolphin","article_published_time":"2026-09-29T15:53:02+00:00","article_modified_time":"2026-09-29T15:57:05+00:00","og_image":[{"width":800,"height":450,"url":"https:\/\/fastdolphin.com\/wp-content\/uploads\/2026\/09\/teamworking-colleagues-inspect-data-center-used-machine-learning-1.jpg","type":"image\/jpeg"}],"author":"Fast Dolphin","twitter_card":"summary_large_image","twitter_misc":{"Escrito por":"Fast Dolphin","Est. tempo de leitura":"12 minutos"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/fastdolphin.com\/blog\/generative-ai-developers-latin-america\/#article","isPartOf":{"@id":"https:\/\/fastdolphin.com\/blog\/generative-ai-developers-latin-america\/"},"author":{"name":"Fast Dolphin","@id":"https:\/\/fastdolphin.com\/#\/schema\/person\/bbb7758588b8094d1b136f2daa613c5b"},"headline":"Generative AI Developers in Latin America: Where the Talent Is and What It Costs","datePublished":"2026-09-29T15:53:02+00:00","dateModified":"2026-09-29T15:57:05+00:00","mainEntityOfPage":{"@id":"https:\/\/fastdolphin.com\/blog\/generative-ai-developers-latin-america\/"},"wordCount":2295,"image":{"@id":"https:\/\/fastdolphin.com\/blog\/generative-ai-developers-latin-america\/#primaryimage"},"thumbnailUrl":"https:\/\/fastdolphin.com\/wp-content\/uploads\/2026\/09\/teamworking-colleagues-inspect-data-center-used-machine-learning-1.jpg","articleSection":["Sin categor\u00eda"],"inLanguage":"pt-BR"},{"@type":"WebPage","@id":"https:\/\/fastdolphin.com\/blog\/generative-ai-developers-latin-america\/","url":"https:\/\/fastdolphin.com\/blog\/generative-ai-developers-latin-america\/","name":"Generative AI Developers in Latin America","isPartOf":{"@id":"https:\/\/fastdolphin.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/fastdolphin.com\/blog\/generative-ai-developers-latin-america\/#primaryimage"},"image":{"@id":"https:\/\/fastdolphin.com\/blog\/generative-ai-developers-latin-america\/#primaryimage"},"thumbnailUrl":"https:\/\/fastdolphin.com\/wp-content\/uploads\/2026\/09\/teamworking-colleagues-inspect-data-center-used-machine-learning-1.jpg","datePublished":"2026-09-29T15:53:02+00:00","dateModified":"2026-09-29T15:57:05+00:00","author":{"@id":"https:\/\/fastdolphin.com\/#\/schema\/person\/bbb7758588b8094d1b136f2daa613c5b"},"description":"What generative AI and LLM developers cost in Latin America, where the talent is concentrated, and how to hire them faster than the US market allows.","inLanguage":"pt-BR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/fastdolphin.com\/blog\/generative-ai-developers-latin-america\/"]}]},{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/fastdolphin.com\/blog\/generative-ai-developers-latin-america\/#primaryimage","url":"https:\/\/fastdolphin.com\/wp-content\/uploads\/2026\/09\/teamworking-colleagues-inspect-data-center-used-machine-learning-1.jpg","contentUrl":"https:\/\/fastdolphin.com\/wp-content\/uploads\/2026\/09\/teamworking-colleagues-inspect-data-center-used-machine-learning-1.jpg","width":800,"height":450,"caption":"teamworking-colleagues-inspect-data-center-used-machine-learning"},{"@type":"WebSite","@id":"https:\/\/fastdolphin.com\/#website","url":"https:\/\/fastdolphin.com\/","name":"Fast Dolphin","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/fastdolphin.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"pt-BR"},{"@type":"Person","@id":"https:\/\/fastdolphin.com\/#\/schema\/person\/bbb7758588b8094d1b136f2daa613c5b","name":"Fast Dolphin","image":{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/secure.gravatar.com\/avatar\/626a760f57b01c36b76daba93e2a0c1bf1c82b00f0240de3da455b9485b66418?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/626a760f57b01c36b76daba93e2a0c1bf1c82b00f0240de3da455b9485b66418?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/626a760f57b01c36b76daba93e2a0c1bf1c82b00f0240de3da455b9485b66418?s=96&d=mm&r=g","caption":"Fast Dolphin"},"url":"https:\/\/fastdolphin.com\/pt\/blog\/author\/fdblog\/"}]}},"_links":{"self":[{"href":"https:\/\/fastdolphin.com\/pt\/wp-json\/wp\/v2\/posts\/26567","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fastdolphin.com\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fastdolphin.com\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fastdolphin.com\/pt\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/fastdolphin.com\/pt\/wp-json\/wp\/v2\/comments?post=26567"}],"version-history":[{"count":10,"href":"https:\/\/fastdolphin.com\/pt\/wp-json\/wp\/v2\/posts\/26567\/revisions"}],"predecessor-version":[{"id":26578,"href":"https:\/\/fastdolphin.com\/pt\/wp-json\/wp\/v2\/posts\/26567\/revisions\/26578"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/fastdolphin.com\/pt\/wp-json\/wp\/v2\/media\/26568"}],"wp:attachment":[{"href":"https:\/\/fastdolphin.com\/pt\/wp-json\/wp\/v2\/media?parent=26567"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fastdolphin.com\/pt\/wp-json\/wp\/v2\/categories?post=26567"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fastdolphin.com\/pt\/wp-json\/wp\/v2\/tags?post=26567"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}