
Tercio Lima is the Growth Lead at NeuronHire, where he runs both sides of what the firm does: the brand, content, and SEO strategy that attracts North American companies, and the sourcing work that fills their pipelines with LATAM engineers. The patterns he writes about come from active pipeline work, not desk research.
A Chemical Engineer by training (UNICAMP), his path here was non-linear: industrial compliance at Eaton, then growth at Maloka, an AI SaaS for retail, where he built the content engine from scratch. That cross-domain background is what lets him read a hiring market analytically and write about LATAM tech talent without sounding like everyone else.
The best engineering retention strategies that keep senior engineers around. Discover why comp isn't the issue and what actually works.
Remote developers in US timezones resolve tickets faster due to real-time collaboration. Learn why timezone alignment beats offshore development.
The AI Maintainer keeps mature AI systems secure, reliable, and efficient as they scale: the on-call backbone for production LLM and ML systems.
The AI Grower iterates a shipped AI product toward product-market fit: the archetype that blends engineering with product and analytics instinct.
The AI Sweeper simplifies, hardens, and cuts the cost of the AI systems you already have: the most underhired of the five AI engineer archetypes.
The AI Builder is the second of the five AI engineer archetypes: the person who turns a validated prototype into a production-grade AI product customers can actually rely on.
The AI Prototyper is the first of the five AI engineer archetypes: the person who turns a vague idea into a working demo before you spend real engineering on it.
Prototyper, Builder, Sweeper, Grower, Maintainer: the five working modes that predict what an AI engineer actually does better than any job title.
Learn how to scale dev team quickly without slowing delivery. Avoid common hiring mistakes that hurt velocity and team performance.
Half of NeuronHire's 2026 roles were for "AI engineers," and most clients actually needed a different profile entirely.
Mexico pairs the region's largest developer pool with a timezone story that only holds up part of the year.
A practical, no-hype guide to hiring engineers from Colombia: real timezone math, the 2025 labor reform explained, and 2026 salary data.
Argentina pairs LATAM's best English with a 2026 labor reform that lowers contractor risk, if you structure the hire correctly.
Brazil gives North American companies deep talent, full time-zone overlap, and real cost savings if you structure the engagement correctly.
For US teams working synchronously, nearshore Latin America beats offshore on cost, collaboration speed, and communication fit.
Brazil leads for scale and AI, Argentina for English, Mexico for overlap, Colombia for cost. The best choice depends on your constraint.