Industry: U.S.-Based Financial Platform (FinTech)
Roles Hired: 2 Engineers (Front-End Engineer, AI & Machine Learning Engineer)
Location: LATAM (Remote)
Salary Range: $3,000 – $5,500/month
Estimated Savings: 55–65%
Time to Hire: ~20 days per role
Estimated Savings: 55–65%
Background: Building the Next Generation of Personal Finance Technology
This U.S.-based fintech company is developing a financial platform for individuals, families, and entrepreneurs seeking greater visibility, organization, and long-term strategy for their wealth.
As the product moved deeper into development, the company needed to expand its engineering capabilities to accelerate platform development and validate key product features. They were looking for experienced engineers who could contribute immediately while operating comfortably in a fast-moving startup environment.
To achieve this quickly and cost-effectively, the company partnered with South to build part of its engineering team with top-tier LATAM talent.
The Challenge: Building a Specialized Engineering Team for a FinTech Product
The client needed to bring in engineers capable of contributing to a next-generation fintech platform, combining strong technical skills with product thinking and the ability to work in an early-stage environment.
They were specifically looking for:
- A Front-End Engineer to help build the user-facing platform experience.
- An AI & Machine Learning Engineer to design intelligent systems capable of analyzing financial data and powering AI-driven features.
The hires needed to:
- Work cross-functionally with product and engineering teams
- Build production-ready systems, not prototypes
- Operate independently in a fast-moving startup environment
- Contribute to architecture and product direction
Speed and technical quality were critical, as these roles would directly impact the platform’s development timeline.
The Roles: Front-End Engineering & AI Systems
Front-End Engineer
The Front-End Engineer focused on building the platform’s user interface and ensuring a clear, intuitive experience for users managing complex financial information.
Key areas of work included:
- Developing scalable UI components using React and modern front-end frameworks
- Collaborating closely with product and design teams to deliver intuitive financial workflows
- Maintaining and evolving the platform’s design system and component libraries
- Ensuring high-quality, performant, and maintainable front-end architecture
The ideal profile combined strong technical front-end skills with user empathy, recognizing that financial platforms require clarity, trust, and simplicity in their interfaces.
AI & Machine Learning Engineer
The AI & Machine Learning Engineer focused on building intelligent systems designed to help users better understand and manage financial decisions.
Key responsibilities included:
- Designing and implementing AI-driven product features using machine learning and large language models
- Building data pipelines to process and interpret financial data
- Developing intelligent agents capable of reasoning across financial context and user intent
- Integrating AI capabilities directly into product workflows alongside front-end and back-end teams
The role required both strong machine learning expertise and practical experience deploying AI systems in production environments, particularly in high-trust industries such as finance.
Candidate Spotlight: Senior Front-End & AI Talent from LATAM
Julian - Senior Front-End Engineer (Argentina)
Julian is a Senior Frontend Engineer with 7 years of experience building scalable financial applications, currently working at Santander.
Key highlights
- Senior engineer at Santander, developing high-performance banking platforms
- Leads a team of 3 developers while remaining hands-on with development
- Core stack: React, TypeScript, Next.js, Tailwind, Storybook
- Experience building microfrontends and scalable UI architectures
- Strong background in performance optimization and accessibility
Julian brings a rare mix of enterprise fintech experience, leadership, and deep React expertise, making him well-suited to build scalable and reliable financial products.
Matheus - AI & Machine Learning Engineer (Brazil)
Matheus is an AI Engineer specializing in machine learning and LLM-powered systems for financial applications.
Key highlights
- 3+ years building AI systems in the financial sector
- Developed a RAG chatbot for a major Brazilian bank
- Experience with Python, LLMs, Azure AI services, and ML deployment pipelines
- Skilled at translating regulatory and business requirements into production AI systems
Matheus combines practical AI implementation with financial domain experience, making him a strong fit for building reliable AI features in fintech products.
The Solution & Results: Fast Hiring and Major Cost Savings
South managed the entire hiring process end-to-end, including sourcing top-tier engineering talent across Latin America, conducting technical vetting, evaluating English proficiency, coordinating interviews, and handling contracting, compliance, and payroll.
Within four weeks, the client successfully hired both engineers and integrated them into their product development workflow.
Cost comparison:
- Front-End Engineer: $3,000/month vs. ~$10,000/month in the U.S.
- AI / ML Engineer: $5,500/month vs. ~$13,000/month in the U.S.
Estimated savings: ~55–65%
Beyond cost efficiency, the company gained experienced engineers capable of contributing to both product development and technical architecture, helping to accelerate the build-out of its next-generation fintech platform.
Why South?
South helps U.S. startups and growing companies build high-performing technical teams in LATAM, without the complexity of traditional international hiring.
👉 Need to build an engineering team quickly and cost-effectively? South can help.
