Artificial Intelligence, Technical Referent

OverviewArtificial Intelligence, Technical Referent role at dLocaldLocal 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.

We are a remote-first company with a global team and travel, health and learning benefits, among others.What's the Opportunity?

The Artificial Intelligence, Technical Referent in the AI & Automation team will be responsible for designing systems developed by multiple teams, ensuring technical excellence, and driving impactful solutions.

This role involves collaboration across teams, technical leadership, and community contribution.What Will I Be Doing?

Lead the design and architecture of systems developed by multiple teamsDefine best practices for engineering and operational excellenceCollaborate with team leaders and stakeholders to ensure continuous delivery and project successProvide solutions to complex technical problemsContribute to technical design and project managementFocus on continuous delivery and collaboration with team leadersEnsure impactful solutions are delivered on timeLead operational practices and examine production behaviorsDefine improvements for operational practicesEnsure systems are reliable and scalableResearch solutions to improve productivity and effectivenessUnderstand business interdependencies and drive strategic initiativesAlign technical solutions with business goalsCommunicate clearly with non-specialists and stakeholdersShare technical knowledge and influence team decisionsFoster a collaborative environment within the teamParticipate in community knowledge sharing through meetups and conferencesAct as a Tech Lead Champion in hiring processesMentor and guide team members to achieve their full potentialWhat Skills Do I Need?

Experience in interacting with systems across teams with synchronous and asynchronous communicationUnderstand trade-offs in decision-making and manage crisis situations effectivelyAutomation and distributed systems expertiseProficiency in LangChain and LangGraph for building and managing language modelsStrong knowledge of AWS infrastructure and servicesRelevant experience with Large Language Models (LLMs) and their applicationsDeep understanding of Software Architectural principles and practicesDefine best practices for engineeringCollaborate with other teams on system design and architectureCommunicate clearly with non-specialists and stakeholdersShare technical knowledge and influence team decisionsFoster a collaborative environment within the teamWhat Do We Offer?

Remote work : work from anywhere or one of our offices around the globeFlexibility : flexible schedules driven by performanceFintech industry : dynamic environment to boost creativityReferral bonus program : refer someone ideal for a role and get rewardedLearning & development : Premium Coursera subscriptionLanguage classes : free English, Spanish, or Portuguese classesSocial budget : monthly budget to connect with your teamdLocal Houses : option to work from a world-wide location for a week with your teamFor people based in Montevideo (Uruguay) applying to non-IT roles, 55% monthly attendance to the office may be requiredWhat Happens After You Apply?

Our Talent Acquisition team will review your CV and keep you posted by email at every step of the process.

You will definitely hear from us.

You can also check out our webpage, LinkedIn, Instagram, and YouTube for more about dLocal.

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