Artificial Intelligence, Technical Referent - AI Lab

🇪🇸 Spain
Posted 12 months ago
Expires June 1, 2026
Full TimeRemoteEngineeringProduct

Why should you join dLocal?
 
dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets. 
 
By joining us you will be a part of an amazing global team that makes it all happen. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.
 
 
 

What's the Opportunity? You'll join the AI Lab, a team whose mission is to validate high-value emerging AI and automation technologies and de-risk their adoption across dLocal. This is a rare opportunity to work at the frontier of applied AI in fintech: running rigorous experiments on the latest models and tools, and turning results into decisions that shape how a global payments company like dLocal adopts AI.
 
As Technical Referent, you are the technical referent for technology scouting and evaluation within dLocal. You will run instrumented spikes and benchmarking on emerging AI technologies, produce clear recommendations for internal teams (could be business, legal, IT, etc.) at dLocal, and coordinate hand-offs to the teams that take validated technologies into production.
You will partner closely with engineering teams responsible for taking your proof of concepts into production (either domain teams or platformization teams): covering platform infrastructure, enablement programs, IT automations, and knowledge systems. Your core focus is evaluation and recommendation, not long-term ownership of production systems.
 
 

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