Location: Remote – Argentina, Brazil, Uruguay, Bolivia, Chile, Paraguay, Dominican Republic
Engagement: Full-Time Contractor
Compensation: USD $6,000–$9,000/month (based on experience)
Time Zone: Must have 3–4 hours of overlap with CEST
Latino Legends is partnering with an innovative retail technology company that powers personalized shopping experiences for some of the world's most recognized fashion, sportswear, and home goods brands. Their platform helps leading retailers deliver highly relevant product recommendations and styling experiences to millions of consumers across e-commerce, email marketing, advertising, social media, and in-store channels.
The company operates at significant scale, influencing the shopping experience of approximately 100 million consumers every month through a combination of advanced machine learning, trend intelligence, and domain expertise.
In 2026, the company launched a specialized AI innovation division focused on solving complex business challenges that extend beyond traditional product roadmaps. This team works directly with executive stakeholders at enterprise retailers to design and deploy custom AI solutions tailored to highly specific industry problems.
Rather than building generic AI tools, the team develops production-ready systems that combine proprietary data, domain expertise, and advanced AI models to address real-world retail challenges. Engagements are delivered through rapid 90-day development cycles covering discovery, model development, testing, and deployment.
Current initiatives include:
Advanced Personalization
Virtual Try-On Experiences
AI-Powered Retail Analytics
Agentic AI Workflows
Enterprise AI Applications
We are seeking a Senior AI Software Engineer to join this fast-moving AI Labs team and help build the next generation of AI-powered products and systems.
This is a highly technical, hands-on role that combines software engineering, AI experimentation, product thinking, and rapid prototyping. You'll work directly with senior technical and business leaders to design, build, test, and deploy AI-driven applications that solve meaningful business problems.
The ideal candidate is equally comfortable building customer-facing prototypes and designing scalable backend systems. You'll own projects end-to-end, from concept through production deployment, while contributing to architectural decisions, AI evaluation frameworks, and agent-based workflows.
This position reports directly to the CTO and offers exceptional visibility, autonomy, and influence over how emerging AI technologies are applied in production environments.
Build production-grade applications using TypeScript and modern AI development tools
Develop full-stack prototypes that clearly demonstrate capabilities to internal stakeholders and enterprise customers
Design, test, and optimize prompts across leading foundation models including OpenAI, Claude, and Gemini
Implement context engineering strategies that provide AI systems with the right information at the right time
Design and build agentic workflows and AI-powered automation systems
Create frameworks for monitoring, testing, and evaluating LLM performance
Analyze large datasets to identify opportunities for AI-driven solutions
Architect scalable systems capable of supporting multiple enterprise clients
Collaborate with technical and business stakeholders to rapidly validate ideas and deliver solutions
Contribute to AI strategy discussions and help guide technical decision-making around model selection, architecture, and deployment
Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or a related field (or equivalent practical experience)
Minimum 7 years of professional software engineering experience
Proven experience leading or owning AI/LLM projects from concept through deployment
Strong full-stack development experience with:
Experience working with modern LLMs and AI APIs, including OpenAI, Claude, and/or Gemini
Demonstrated experience with prompt engineering, model evaluation, and AI application development
Experience designing and implementing agent-based systems or AI-driven workflows
Strong understanding of:
System architecture
APIs
Scalability principles
Database design
Open-source ecosystems
Experience creating structured testing methodologies and performance metrics for AI systems
Excellent written and verbal English communication skills
Ability to work independently in ambiguous, fast-changing environments
Strong judgment regarding when AI outputs can be trusted and when deeper engineering validation is required
Experience working within high-growth startups or innovation-focused environments
Experience building LLM testing and evaluation frameworks
Proficiency with Python, Java, or other languages commonly used for AI development and data processing
Experience within retail technology, e-commerce, recommendation systems, or personalization platforms
Delivering AI-powered solutions from concept to production
Building scalable systems that can support multiple enterprise clients
Rapidly prototyping new AI capabilities and validating them with stakeholders
Establishing reliable testing and monitoring practices for LLM-based applications
Driving technical innovation while maintaining strong engineering fundamentals
If you're excited about building production-grade AI systems, working directly with executive stakeholders, and helping shape the future of enterprise AI applications, we'd love to hear from you.
