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EngineeringHybrid

Staff AI Engineer - AI Labs

dLocal · Hybrid

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Last seen by MeritLog September 12, 2026Source: LeverSource version: lever-postings-v1

MeritLog read this listing from dLocal's Lever job board and last checked it on September 12, 2026.

Source: the employer's Lever job board. Open the original listing for current details.

Job details

Work model
Hybrid
Salary
Not listed by source
Location
Madrid; Barcelona; London; Bucharest

Job description

Why Join dLocal?dLocal is the financial infrastructure powering global commerce in the world's fastest-growing markets. The biggest companies in the world trust us to unlock growth in 60+ countries across emerging markets-moving money where others see complexity. We don't just process payments; we are architects of payment ecosystems and partners in our customers' expansion. You'll work alongside 1,300+ teammates from 40+ nationalities and tackle global challenges from day one.   What's the Opportunity? You will 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 adopts AI. This is a senior individual-contributor role. It does not require direct people management, but it carries significant technical influence within the Lab and across the teams that consume its work. As a Staff AI Engineer in the AI Lab, you own technology scouting, prototyping, and evaluation for dLocal. You will run instrumented spikes and benchmarking on emerging AI technologies, produce clear recommendations for stakeholders across engineering, business, legal and IT based on your prototypes, and coordinate hand-offs to the teams that take validated technologies into production. For promising technologies, you will help define the patterns, guardrails, and technical requirements needed for adoption and coordinate the hand-off to the engineering teams responsible for productionizing them.

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