AI Engineering in Panama: Building the Future From Latin America

When people find out I'm an AI engineer based in Panama, the reaction usually follows a predictable script. First, a pause. Then something like: "Oh, that's cool — so do you work remotely for a US company?" When I tell them I'm actually building my own AI-powered products from Panama City, the pause gets longer.

I get it. When most people think "AI engineering," they picture San Francisco, maybe London or Tel Aviv. Not a guy sitting in Panama City with a coffee from a local roastery, debugging a retrieval-augmented generation pipeline while a tropical rainstorm turns the streets into rivers outside his window. But here I am — Osvaldo Restrepo, PhD, over a decade of engineering experience, building production AI systems from Central America. And honestly? I wouldn't trade it.

This post is about what it's actually like to be an AI engineer in Panama, why I think this country is quietly positioning itself as a serious tech hub, and what I've learned building AI products from a place most people don't associate with cutting-edge technology.

The "Wait, Panama?" Conversation

I've had this conversation roughly four hundred times. At conferences, on calls with potential clients, in Slack communities. Someone asks where I'm based, I say Panama, and then I spend the next five minutes explaining that yes, Panama has reliable internet. Yes, we have electricity. No, I don't code from a hammock on the beach (though I could, and sometimes the temptation is real).

The truth is, most people outside Latin America have a very narrow mental model of where serious tech work happens. And I understand why — the AI ecosystem in Central America is still early. There aren't thousands of machine learning engineers in Panama City the way there are in the Bay Area. When I go to local meetups, I'm often the only person in the room who's built a production LLM application.

But "early" doesn't mean "wrong." It means there's a massive opportunity. And the people who plant flags early tend to shape what comes next.

Why Panama? (No, Seriously)

When I tell other engineers I chose Panama, they assume it's about taxes or the beach. Those things don't hurt, obviously. But the real reasons are more strategic than that.

Timezone Alignment

Panama is on Eastern Standard Time (UTC-5), year-round. No daylight saving nonsense. This means I'm perfectly aligned with New York, Toronto, and most of the US East Coast. I can take a 9 AM call with a client in Miami and a 2 PM call with someone in San Francisco without anyone feeling inconvenienced. For an AI engineer who works with US-based companies and clients, this is genuinely valuable. Timezone friction kills more deals than people realize.

The Americas' Business Hub

Panama has been a crossroads of international commerce for over a century — and that's not just because of the Canal. The country has a stable banking sector, a dollarized economy (yes, we use the US dollar), and a legal and business framework that makes it straightforward to operate internationally. There's a reason multinational companies have regional headquarters here. When you're building AI products that serve both US and Latin American markets, being in Panama makes you a bridge, not an outsider.

Infrastructure That Actually Works

I'm going to be honest: I was skeptical before I moved here. But Panama City has fiber internet, modern coworking spaces, and a tech infrastructure that would surprise people who haven't visited. I run large model inference jobs, push to cloud deployments, and hop on video calls all day without issues. Could I do this from a remote village in the interior? Probably not. But from Panama City? Absolutely.

Cost of Living vs. Quality of Life

This one matters more than engineers like to admit. In San Francisco, my rent would eat most of my revenue before I wrote a single line of code. In Panama City, I have a comfortable life, a good workspace, and the financial breathing room to actually take risks on building products — instead of grinding at a FAANG job to afford a studio apartment. That breathing room is what lets me build things like MILA and TheGreyMatter.ai ecosystem instead of just doing contract work to survive.

The AI Engineering Landscape in Latin America

Let me be real about where things stand. The AI engineering landscape in Latin America is growing fast, but it's still early compared to the US and Europe. Here's what I see:

The talent is there, but it's scattered. Brazil has a strong ML research community. Colombia and Mexico have growing startup ecosystems with AI components. Argentina has incredible technical talent (and always has). But in Central America specifically — Panama, Costa Rica, Guatemala — the AI engineering community is still small. Really small.

Most LATAM AI work is still applied, not foundational. You'll find plenty of data scientists doing analytics and dashboarding. You'll find engineers implementing pre-built ML models. But the number of people building production AI systems — designing agent architectures, building RAG pipelines, fine-tuning models, deploying LLM applications at scale — is much smaller. That's changing, but we're not there yet.

Remote work changed everything. Five years ago, being an AI engineer in Panama would have meant working for a local bank or telecom. Today, I build products that serve users globally. The remote work revolution didn't just let people work from home — it let people in places like Panama City compete at the highest level of technical work without relocating.

What I Actually Build From Panama City

I don't just talk about AI engineering — I build production AI systems. Here's what's on my bench right now, all developed from Panama:

MILA — AI-Powered Medical Intelligence

MILA (Medical Intelligence for Longitudinal Analysis) is the project closest to my heart. It's an AI-powered system that helps NICU parents organize medical observations, track data over time, and prepare informed questions for their medical team. It uses RAG for medical literature retrieval, LLM-powered analysis for pattern recognition, and a carefully designed interface that balances information density with emotional sensitivity. I built it because I needed it — my family lived through the NICU experience, and the system failed us in ways that better tooling could have prevented.

Building something like MILA from Panama might sound unusual, but the healthcare AI space is inherently global. Medical literature is universal. The problems NICU families face are universal. My location doesn't limit the impact — and working from Panama gives me the focus and financial runway to build it the way it deserves to be built.

TheGreyMatter.ai Ecosystem

TheGreyMatter.ai is an ecosystem of AI-powered business intelligence tools. It includes Forecast9 for financial forecasting, DueDiligence9 for automated due diligence analysis, and other specialized tools that help businesses make better decisions with AI. Each product in the ecosystem uses LLM-powered analysis, domain-specific data pipelines, and carefully designed user experiences.

Building an AI product ecosystem from Panama is actually a competitive advantage here. Panama's position as a business hub means I understand the needs of companies operating across the Americas. I speak to clients in Miami, Bogota, Mexico City, and Sao Paulo in the same week. That cross-market perspective shapes how I design these tools — they're built for the real complexity of doing business across Latin America, not just optimized for the US market.

BabyBloom

BabyBloom is an AI-powered parenting companion that provides developmental tracking and personalized guidance. It uses LLMs for natural conversation, structured data models for developmental milestones, and machine learning for personalized recommendations. It's the kind of product that works because the AI feels helpful without feeling clinical.

The Unique Advantages of Building From Panama

Beyond the practical benefits I mentioned earlier, there are some less obvious advantages to being an AI engineer in Panama that I've come to appreciate:

Bilingual by Default

I operate natively in both English and Spanish. This isn't just a nice-to-have — it's a genuine competitive advantage when building AI products for the Americas. I can evaluate Spanish-language LLM outputs, design bilingual user experiences, and communicate with clients across the hemisphere without translation layers. For AI applications serving Latin American markets, this matters enormously. Prompt engineering in Spanish requires understanding Spanish, not just translating English prompts.

Cross-Market Perspective

Sitting in Panama, I'm equidistant — culturally and geographically — between the US and South America. I understand both markets. I know that what works for a fintech in San Francisco won't necessarily work for a financial services company in Medellin. When I build AI systems, I build them with that perspective baked in from day one.

Less Noise, More Focus

I'm going to say something that might sound counterintuitive: being outside the main tech hubs makes me a better engineer. There's no pressure to chase every new framework, attend every networking event, or perform the social rituals of Silicon Valley. I read papers. I build things. I ship. The signal-to-noise ratio in Panama City is very high because there's almost no noise. It's just me, my team, and the work.

The "Prove It" Mindset

When you're an AI engineer in Panama, nobody gives you the benefit of the doubt. You don't get credibility from your zip code or your employer's brand. Every client, every collaborator, every person I work with — I have to demonstrate competence through work, not pedigree. That's made me a better engineer and a better communicator. I can explain what I build and why it matters, because I've had to do it from scratch every single time.

The Challenges (Because Honesty Matters)

I'm not going to pretend everything is perfect. Being an AI engineer in Panama comes with real challenges:

The Local Talent Pool Is Small

If I need to hire a senior machine learning engineer in Panama City tomorrow, my options are extremely limited. The local talent pool for specialized AI engineering is thin. This means I do a lot of work myself, rely on remote collaborators, and invest time in mentoring junior engineers who show promise. It's getting better — more Panamanian engineers are getting interested in AI — but we're years away from having a critical mass of local AI talent.

Community Is Still Forming

In San Francisco, you can go to an AI meetup every night of the week. In Panama City, I can count the number of serious AI practitioners I know on two hands. There's no established AI engineering community here yet. I'm working to change that — writing posts like this one, sharing knowledge, connecting with other engineers in the region — but it's a long game.

Some Infrastructure Gaps

While Panama City's internet and tech infrastructure are solid, the broader ecosystem has gaps. There's no local cloud region for AWS or GCP (the nearest is in Sao Paulo or Virginia). Some enterprise software vendors don't have local support. Payment processing for SaaS products can be more complex than in the US. These are solvable problems, but they add friction.

Perception Bias

This is the most frustrating challenge. Some clients and collaborators assume that being based in Panama means lower quality work, or that I'm a "nearshore" contractor rather than a senior engineer building sophisticated AI systems. I've learned to let my work speak for itself, but the bias is real. Every AI engineer working from Latin America has encountered some version of this. It's changing — slowly — but it's there.

Why Location Matters Less Than Ever (But Panama Still Has an Edge)

Here's the paradox: AI engineering is one of the most location-independent disciplines in software. I access the same foundation models as someone in San Francisco. I read the same papers. I use the same cloud infrastructure. The code I write in Panama City is indistinguishable from code written in Mountain View. The LLM doesn't know or care where I'm sitting when I send it a prompt.

And yet, location still matters — just not in the ways people think. It matters for timezone overlap with clients. It matters for cost of living and financial runway. It matters for quality of life and the ability to sustain intense creative work over years. It matters for the perspective you bring to the products you build.

On all of those dimensions, Panama is genuinely excellent for AI engineering work. Not because it's a tech hub (it isn't, yet), but because it provides the conditions that let an engineer do their best work: focus, financial sustainability, strategic positioning, and a quality of life that prevents burnout.

I've been an AI engineer for years now, and I've been based in Panama for a meaningful chunk of that time. I can say with confidence that my location has never been the limiting factor in the quality of my work. If anything, it's been an accelerant.

What's Coming Next for AI Engineering in Panama

I'm genuinely optimistic about where things are heading. Here's what I see:

More remote AI engineers are discovering Panama. I'm meeting more people — from Colombia, Venezuela, the US, Europe — who are relocating to Panama to do tech work. The timezone, cost of living, and quality of life are pulling people in.

The local ecosystem is starting to mature. Panama's government has been investing in tech education and digital infrastructure. It's slow, but it's happening. The Ciudad del Saber (City of Knowledge) is growing as a tech and research hub. Universities are starting to offer more relevant programs.

LATAM AI is having its moment. Across the region, AI startups are raising funding, engineers are building impressive products, and the global tech industry is paying attention to Latin American talent in ways it never has before. Panama is positioned to benefit from this regional momentum.

Osvaldo Restrepo is going to keep building. I'm not going anywhere. Every product I ship from Panama City is proof that world-class AI engineering happens here. And every engineer who joins this ecosystem makes it stronger for the next one.

Let's Connect

If you've read this far, you're probably one of three people:

1. You're looking for AI engineering talent in Latin America — and you're realizing that Panama is worth a look. Let's talk. I build production AI systems: LLM applications, RAG pipelines, AI agents, full-stack AI products. I have a PhD, over 10 years of engineering experience, and I ship.

2. You're an engineer considering Panama — and you want to know what it's really like. Reach out. I'm happy to share what I've learned and help you think through it.

3. You're building something interesting with AI — and you want a collaborator who brings a different perspective. I'm always open to interesting projects, especially ones at the intersection of AI and real-world problems.

You can find me through this site, or reach out directly. I'm Osvaldo Restrepo — AI engineer, based in Panama, building the future from Latin America.

The next time someone asks if there are AI engineers in Panama — send them this post.