U.S. tech companies are increasingly using the expanding AI workforce in Latin America as the demand for qualified post-training LLM support rises. Revelo, a platform co-founded by Lucas Mendes and Lachlan de Crespigny, leads this movement with a pool of 400,000 verified developers. While some companies are promoting the return of offices, others are employing flexible, remote-first tech hiring procedures. Revelo is seeing a lot of interest from people looking for skilled LLM developers to improve AI results and boost innovation.
Latin America’s Role in AI’s Next Chapter
The next wave of AI development depends on expert human input, especially post-training model optimization. Mendes explained that engineers with deep coding expertise are now vital to making LLMs more effective in real-world applications. Revelo has positioned itself as a leading provider of such talent. It is assisting American businesses in swiftly and effectively connecting with qualified LLM developers.
Revelo offers a solution that manages hiring logistics and expedites payments, making it appealing to American companies seeking simple access to international tech talent. This competitive edge will result in growth driven by the AI workforce in 2024. A total of 22% of Revelo’s revenue came from LLM-related positions.
Revelo Grows Fast Despite Return-to-Office Push
Revelo was established in 2014 to address the lack of talent in Brazil. It has since grown into a pan-Latin American solution for teams that value working remotely. A turning point was the COVID-19 pandemic, when American companies searched for assistance in forming remote teams. Mendes says that clients increased their hiring of tech professionals throughout the region after they saw the caliber of engineers and the advantageous cost dynamics.
Today, Revelo serves a diverse set of enterprise clients, including Oracle, Dell, and Intuit. The momentum has not been slowed by the return-to-office movement. Mendes explains the sustained interest by pointing out that time-zone alignment allows for real-time collaboration. This makes LLM developers in Latin America more desirable than distant offshore counterparts.
Over the past 30 months, Revelo has purchased five regional rivals to increase capacity. Among them are Alto and Paretisa, both of which Revelo acquired in March and which provide access to larger talent pools. According to Mendes, the business is constructing the fundamental framework for the future AI workforce.
How Are LLM Requirements Changing Developer Hiring?
As AI development becomes more specialized, there is an increasing need for specialized skills. In addition to helping businesses fill positions, Revelo facilitates strategic expansion. Whether clients need Python experts or coders for domain-specific AI tasks, Revelo’s talent pool includes high-caliber LLM developers prepared for these challenges.
The company’s future goals include expanding its presence in Latin America and making more acquisitions. According to Mendes, the objective is clear: to create a strong, reachable, and time-aligned AI workforce that drives the upcoming wave of worldwide innovation. The shift in modern tech hiring toward expertise, flexibility, and advantageous locations is reflected in Revelo’s model.
Revelo Is Defining AI Talent’s Future
Securing specialized talent has emerged as a strategic priority in the global race to create AI systems that are smarter. Revelo is positioned as a major participant in this change due to its combination of nearshore accessibility and verified experience. It continues to support leading U.S. tech innovators with its expanding AI workforce as demand increases.
Revelo is building a scalable, future-ready talent ecosystem with a strong presence throughout Latin America and an emphasis on acquiring leading regional players. In addition to addressing today’s hiring issues, the company is revolutionizing how multinational corporations approach long-term workforce strategy in the AI era by adjusting to the changing demands of post-training AI development.
About The Author
