Hire Vetted AI Talent Across the US and Latin America

Maya has spent the last decade leading AI teams in the Bay Area, with experience scaling ML infrastructure at two AI-first startups, one acquired in 2022. Her work spans LLM fine-tuning, retrieval systems, and bringing AI features from research to production at scale. She's especially passionate about helping engineering teams cross the gap between AI experimentation and durable production systems, and mentors AI engineers throughout the San Francisco community.

Javier has over a decade of experience building Android applications, with recent work focused on integrating AI into mobile products. He has shipped on-device ML models, LLM-powered assistants, and AI-driven personalization features for consumer apps across Latin America and the US. Based in Argentina's growing AI engineering community, he brings a strong architectural foundation to teams shipping AI-forward mobile experiences.

David is a senior ML engineer with a decade of experience building production machine learning systems for fintech and enterprise SaaS companies in New York. He specializes in real-time recommendation engines, fraud detection models, and the data pipelines that power them. His recent work has focused on integrating LLM-based agents into existing ML stacks, and he contributes to several open-source ML infrastructure projects.

Ph.D. in Computer Science from the Federal University of Amazonas. Co-founder of Neemu, acquired by Linx in 2015. Leonardo is a tech lead and self-described generalist whose recent work has centered on building AI-powered web applications, integrating LLMs into React frontends, and architecting agent-driven user experiences. He is constantly learning and curious about emerging AI tools and trends. Fluent in English and Portuguese. Passionate about teamwork and mentoring junior engineers as they grow into AI-forward roles.

Sarah is an LLM engineer based in Austin with deep experience shipping agentic AI applications, RAG systems, and conversational AI products. She came to LLM engineering from a traditional NLP background and has built production AI features for companies in healthcare, legal tech, and developer tools. She's known for pragmatic architecture choices and getting AI products from prototype to scale quickly.

Mario is a seasoned full-stack developer with more than 15 years of expertise, specializing in Python and Django for AI and ML backends, alongside a robust command of modern JavaScript frameworks such as React, Angular, Vue, and JQuery. His recent focus has been on scalable AI infrastructure, LLM integration layers, and data pipelines that power production AI applications. His experience driving open-source business solutions has been instrumental for a diverse range of AI-driven companies.