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Sector Shifts: Where LATAM’s Hiring Demand Is Growing in 2025

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In 2025, Latin America (LATAM) is witnessing a transformation in hiring demand. No longer limited to broad “tech” roles, companies are increasingly targeting specialized talent in AI, cloud, fintech, and adjacent emerging sectors. For organizations looking to scale in LATAM or tap its talent pools, understanding which sectors are accelerating is key to making smart hiring decisions.

Below, we break down the leading sectors attracting hiring demand and what this means for companies and professionals alike.

1. Fintech & Digital Finance

Fintech remains one of LATAM’s most dynamic sectors for hiring. Growth in digital financial services, open banking, and underbanked populations has fueled demand for talent in payments, lending platforms, regtech, and embedded finance.

  • The number of fintech startups in LATAM grew over fourfold from 2017 to 2023 (from ~703 to more than 3,000) according to IDB and Finnovista with Brazil, Mexico, Colombia, Chile, and Argentina leading the count.
  • Fintech now accounts for a large share of VC investment in LATAM, making it a prime sector for recruiting roles in product, compliance, risk, and AI-driven credit scoring.
  • Within fintech, demand is especially strong for back-end engineers, data scientists, fraud detection experts, and compliance/AML specialists.

If your organization is in financial services or wants to embed finance into your product, LATAM offers deep talent pools and business innovation potential.

2. AI, Machine Learning & Data Intelligence

AI roles remain the fastest-growing niche in tech hiring across LATAM. Companies are moving beyond pilots toward embedding AI in operations, customer experience, and decision systems.

  • According to the World Economic Forum’s Future of Jobs Report 2025, data analysts, AI and machine learning specialists are projected to be among the fastest-growing roles in Latin America and the Caribbean.
  • A recent survey of Brazilian firms noted that generative AI tools are transforming work in sectors like content, customer service, graphic design, and software development.
  • LATAM is already producing research on “emerging AI powers” countries like Argentina, Colombia, and Uruguay are rising in rankings due to education, infrastructure, and finance pillars.

Roles in high demand include ML engineers, NLP specialists, prompt engineers, AI operations roles, and those combining domain expertise (e.g. healthcare, manufacturing) with AI skills.

3. Cloud Infrastructure & DevOps / Site Reliability Engineering

The shift from on-prem systems to cloud and hybrid architectures is driving demand for cloud engineers, DevOps, SRE, and reliability specialists across LATAM.

  • AWS plans to invest USD 4 billion in cloud infrastructure in Chile, marking its third cloud region in Latin America after Brazil and Mexico. This expansion will create new demand for local cloud operations, security, and infrastructure teams.
  • As companies adopt scalable cloud systems, they need engineering talent that can manage containerization, CI/CD, observability, security, and platform scaling.

Those who understand multi-cloud, Kubernetes, infrastructure-as-code, and resilience patterns are particularly sought after.

4. SaaS, B2B Tech & Platform Businesses

SaaS and B2B platforms are rising in prominence in Latin America. The de-centralization of software is enabling global players to build from LATAM and serve markets across the Americas and beyond.

  • The LatAm Tech Report highlights SaaS alongside fintech, e-commerce, healthtech, and climate tech as sectors drawing investor attention and talent.
  • Many B2B fintech, productivity tools, and industry platforms are expanding, requiring teams skilled in full-stack development, APIs, integrations, UX, and platform growth.

Hiring emphasis in this sector often falls on product engineers, API developers, backend architects, and customer success engineers who can scale SaaS offerings globally.

5. Data Enrichment & Crowd / Annotation Work

While not always front-of-mind, data enrichment and labeling work remains a backbone for AI systems. LATAM is becoming a hub for this labor.

  • A recent study surveyed 100 crowdworkers across Latin America and the Caribbean, analyzing their roles in data labeling and enrichment for global AI systems. The authors emphasized the importance of this work as foundational to deploying AI at scale.
  • Companies building AI models need data pipelines, quality assurance, annotation platforms, and governance. These roles are often entry-level but scalable and distributed.

For tech teams, investing in reliable data enrichment capacity can accelerate model training and maintain quality control across AI workflows.

What This Means for Hiring Strategy

These sector shifts signal where demand is heading. Here are strategic takeaways for HR leaders, founders, and talent teams:

  1. Target the intersection of sector + tech skills. Rather than hiring generic engineers, look for candidates with domain experience in fintech, health, or logistics plus AI/ML capability.
  2. Invest in local infrastructure talent. As cloud expansion hits LATAM, securing local SRE, DevOps, and infrastructure engineers becomes a competitive moat.
  3. Leverage data enrichment as a recruiting entry point. Roles in annotation and data pipelines often serve as on-ramps for junior talent to grow into ML engineering.
  4. Blend soft skills with technical skills. Reports show increasing employer focus on leadership, resilience, and adaptability. For 2025, 84% of LATAM employers plan to upskill internally to meet digital demand.
  5. Use regional differentiators. LATAM offers time zone alignment with North America, cultural proximity, and growing English proficiency—all of which amplify collaboration and team productivity.

At Tesoro AI, we are tracking these shifts closely. When clients come to us looking to scale their AI or cloud teams, we now anticipate sector-led hiring patterns and ensure our talent networks stay aligned with high-growth verticals.

As Latin America’s tech landscape continues to mature, the opportunity lies not just in recruiting more but in recruiting smarter.

Sources

  • Banco Interamericano de Desarrollo (IDB) & Finnovista. (2024). Fintech in Latin America: Growth and opportunities in a digital era. Inter-American Development Bank. Retrieved from https://www.iadb.org
  • Bloomberg Línea. (2025, May). Latin America’s tech hiring surge enters a new phase. Retrieved from https://www.bloomberglinea.com
  • Latitud. (2025). The LatAm Tech Report: Main Insights. Latitud. Retrieved from https://www.latitud.com/blog/the-latam-tech-report-main-insights
  • Reuters. (2024, June 20). Latin American fintechs quadruple in the past six years with more room to grow. Reuters Technology. Retrieved from https://www.reuters.com/technology/
  • Reuters. (2025, May 7). Amazon to spend $4 billion on cloud infrastructure in Chile. Reuters Business. Retrieved from https://www.reuters.com/business/
  • World Economic Forum. (2025, April). The Future of Jobs in Latin America and the Caribbean: Digital skills gap must close quickly to satisfy evolving employer demands. World Economic Forum. Retrieved from https://www.weforum.org
  • Arxiv. (2025, January). Mapping emerging AI powers in Latin America: Education, infrastructure, and finance. Cornell University. Retrieved from https://arxiv.org
  • Arxiv. (2025, May). Generative AI and productivity in emerging economies: Evidence from Brazil and Mexico. Cornell University. Retrieved from https://arxiv.org
  • AI Global Workforce Report. (2025). AI labor dynamics and data annotation in Latin America. Global AI Research Institute. Retrieved from https://www.aiglobalreport.org

Recruitment Trends

Maximizing Your Hiring Potential: A Look at the Latest Trends in Latin American IT Recruitment

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Maximizing Your Hiring Potential: A Look at the Latest Trends in Latin American IT Recruitment

 

Introduction

Latin America (LATAM) has emerged as a major player in the global IT industry, with a growing number of companies and startups establishing their presence in the region. As technology continues to advance, the demand for skilled IT professionals in LATAM is on the rise. In this blog post, we will delve into the latest recruitment trends in LATAM, shedding light on the evolving landscape and providing insights for both jobseekers and hiring managers.

Machine learning

Upsurge in Remote Work Opportunities

The COVID-19 pandemic has changed the recruitment trends and has accelerated the adoption of remote work globally, and LATAM is no exception. Companies are increasingly embracing remote work arrangements, opening opportunities for IT professionals to work for organizations across borders. Remote work offers flexibility and access to a larger talent pool, allowing companies in LATAM to tap into a wider range of skills and expertise from around the world.

Focus on Cloud Computing and SaaS

Cloud computing and Software-as-a-Service (SaaS) solutions have gained immense popularity in recent years, driving the need for IT professionals with expertise in these areas. Companies in LATAM are embracing cloud-based technologies to enhance scalability, data security, and collaboration. Consequently, jobseekers with experience in cloud architecture, cloud migration, and SaaS application development have a distinct advantage in the recruitment process.

Embracing Data Science and Artificial Intelligence

Data-driven decision-making has become a critical factor in the success of businesses across industries. As a result, companies in LATAM are seeking IT professionals skilled in data science, machine learning, and artificial intelligence (AI). Candidates proficient in data analysis, predictive modeling, and AI algorithm development are highly sought after to help companies gain insights from vast amounts of data and drive innovation.

Recruitment trends

Cybersecurity and Data Privacy:

With the increasing frequency and sophistication of cyber threats, cybersecurity has become a top priority for businesses in LATAM. IT professionals with expertise in cybersecurity, including ethical hacking, threat detection, and incident response, are in high demand. Moreover, the implementation of data protection regulations, such as the General Data Protection Regulation (GDPR) and local data privacy laws, has heightened the need for professionals with knowledge of data privacy compliance.

Soft Skills and Cross-functional Collaboration:

In addition to technical proficiency, employers in LATAM are placing greater emphasis on soft skills and cross-functional collaboration. IT professionals who can effectively communicate, work in teams, and adapt to changing environments are highly valued. The ability to collaborate with other departments, such as marketing, finance, and operations, is crucial as technology becomes deeply integrated into various aspects of business operations.

 Conclusion

The IT industry in LATAM is experiencing rapid growth, presenting exciting opportunities for both job seekers and companies. The latest recruitment trends highlight the increased focus on remote work, cloud computing, data science, cybersecurity, and soft skills. Jobseekers should continuously develop their technical expertise, adapt to emerging technologies, and cultivate their soft skills to remain competitive in the job market. Meanwhile, hiring managers need to identify candidates who can not only meet technical requirements but also contribute to a collaborative and agile work environment. By staying abreast of the evolving trends, both jobseekers and hiring managers can thrive in the dynamic landscape of IT recruitment in LATAM.

Are you interested in hiring Latin American talent?

Contact us now or give us your details and we will get in touch!

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cyber security, recruitment, professional

Why AI is Essential for Companies Seeking Top IT Talent

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Empresario estrechando la mano de un socio digital sobre un fondo futurista. - foto de stock

Artificial Intelligence (AI) is spearheading a transformative revolution in the realm of talent acquisition, revolutionizing how companies search for and recruit top IT professionals. With the increasing demand for skilled professionals in the tech industry, companies are turning to AI-powered tools to streamline their recruitment process and ensure they are attracting the best candidates. Finding and retaining top IT talent is a challenge that many organizations face today.

One of the main benefits of using AI in the hiring process is the ability to quickly and efficiently sift through large volumes of resumes and applications. AI algorithms can analyze resumes and identify the most qualified candidates based on specific criteria such as education, experience, and skills. This saves recruiters time and ensures they are focusing on the most promising candidates.

Another benefit of using AI in the hiring process is the ability to eliminate bias. (see more in our blog) Human recruiters may unintentionally let their personal biases influence their decisions, leading to discrimination against certain candidates. AI algorithms, on the other hand, are designed to be objective and unbiased, ensuring that all candidates are evaluated fairly helping mitigate unconscious biases that often influence human decision-making, enabling a fair and objective evaluation of candidates based solely on their skills, qualifications, and experience. This leads to more equitable opportunities and fosters a diverse workforce that brings varied perspectives and ideas to the table.

AI can also help with the interviewing process. Chatbots and other AI-powered tools can conduct initial interviews with candidates, asking them a series of pre-determined questions and recording their responses. This can help to weed out candidates who are not a good fit for the position and allow recruiters to focus on the most promising candidates.

Concepto de aplicación de servicio al cliente digital inteligente AI Chatbot. - foto de stock

Moreover, AI-powered tools can also help to enhance the candidate experience. Job seekers can interact with chatbots and AI-powered assistants to get information about open positions, submit their resumes, and receive feedback on their applications. This can not only make the process more convenient for candidates but can also help to improve the company’s reputation as an employer.

AI can also help companies to make better hiring decisions by analyzing data from previous recruitment processes. By identifying patterns and trends in successful hires, companies can refine their recruitment strategies and improve their chances of finding the best candidates.

Furthermore, AI can help to reduce time-to-hire, which is a critical factor in the recruitment process. The longer it takes to fill a position, the more it can cost the company in terms of lost productivity and revenue. AI can help to speed up the recruitment process by quickly identifying the most qualified candidates, conducting initial interviews, and providing feedback to candidates.

However, it’s important to note that AI should not replace human recruiters entirely. While AI can help to streamline the recruitment process, human recruiters are still needed to provide a personal touch and make final decisions about which candidates to hire. AI can be a valuable tool, but it should be used to support human recruiters, not replace them.

AI has become an indispensable tool for companies in their pursuit of top IT talent. With its ability to streamline the recruitment process, eliminate bias, and enhance candidate evaluation, AI-powered tools have revolutionized the way companies find and assess candidates efficiently. Beyond efficiency, AI also brings substantial benefits such as cost savings, reduced time-to-hire, and enhanced diversity and inclusivity in the recruitment process.

AI has become an indispensable ally for companies seeking top IT talent. As AI technology continues to advance, its role in recruitment will become increasingly vital, allowing companies to maintain a competitive edge and attract the best talent in an ever-evolving IT landscape.

 

developers-team

Leveraging AI in the Recruitment Process: Unleashing Efficiency and Enhanced Decision-Making

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In today’s rapidly evolving job market, organizations are turning to advanced technologies to streamline their operations and gain a competitive edge. One area where AI (Artificial Intelligence) is making significant strides is the recruitment process.

By harnessing the power of AI, companies can revolutionize their talent acquisition strategies, resulting in improved efficiency, enhanced candidate experiences, and more informed hiring decisions

AI starting to be a key player for recruitment processes.

 

Optimizing Candidate Sourcing

  • AI-driven tools can revolutionize candidate sourcing by scouring vast amounts of data to identify potential candidates as mentioned by Forbes. Machine learning algorithms can analyze various sources such as online job boards, professional networks, and social media platforms to identify individuals with the desired skills and qualifications. This not only saves time but also helps organizations tap into previously untapped talent pools

 Enhanced Resume Screening

  • Traditional manual resume screening can be time-consuming and subject to human biases. AI-driven solutions leverage Natural Language Processing (NLP) and machine learning algorithms to intelligently screen resumes and CVs. These systems identify relevant skills, experience, and qualifications, enabling recruiters to quickly shortlist candidates based on objective criteria. By reducing the manual workload, recruiters can dedicate more time to evaluating candidates and conducting interviews

Automated Interview Scheduling

  • Coordinating interview schedules can be a complex and time-consuming task. AI-driven scheduling tools can simplify this process by leveraging natural language processing and machine learning to automatically identify the best time slots for interviews based on candidates’ availability and interviewers’ schedules. This reduces back-and-forth communication and streamlines the entire scheduling process.

AI recruitment

 Enhanced Diversity

  • AI can play a pivotal role in promoting diversity and inclusion within recruitment processes. By removing human biases, AI-driven tools focus solely on candidates’ qualifications and abilities, facilitating a fair and objective evaluation process. These tools help organizations build diverse and inclusive teams, fostering innovation, creativity, and a broader range of perspectives.

 Continuous Improvement and Learning:

  • AI systems have the ability to learn and improve over time. By leveraging machine learning, recruitment processes can become more refined and accurate. AI algorithms can analyze recruitment data, identify patterns, and make recommendations for process enhancements. This iterative feedback loop ensures ongoing improvement and fine-tuning of the recruitment strategies, resulting in optimized outcomes.

 Conclusion:

AI has emerged as a game-changer in the realm of recruitment, offering numerous benefits to organizations seeking to attract top talent and build high-performing teams. Through AI-powered tools and solutions, businesses can streamline candidate sourcing, automate tedious tasks, make data-driven decisions, and enhance the overall candidate experience. By embracing AI in recruitment processes, organizations position themselves at the forefront of innovation, gaining a competitive advantage in attracting and retaining the best-suited candidates for their success.

 

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