Artificial Intelligence, Technical Referent

Overview Artificial Intelligence, Technical Referent role at 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. 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 teams Define best practices for engineering and operational excellence Collaborate with team leaders and stakeholders to ensure continuous delivery and project success Provide solutions to complex technical problems Contribute to technical design and project management Focus on continuous delivery and collaboration with team leaders Ensure impactful solutions are delivered on time Lead operational practices and examine production behaviors Define improvements for operational practices Ensure systems are reliable and scalable Research solutions to improve productivity and effectiveness Understand business interdependencies and drive strategic initiatives Align technical solutions with business goals Communicate clearly with non-specialists and stakeholders Share technical knowledge and influence team decisions Foster a collaborative environment within the team Participate in community knowledge sharing through meetups and conferences Act as a Tech Lead Champion in hiring processes Mentor and guide team members to achieve their full potential What Skills Do I Need? Experience in interacting with systems across teams with synchronous and asynchronous communication Understand trade-offs in decision-making and manage crisis situations effectively Automation and distributed systems expertise Proficiency in LangChain and LangGraph for building and managing language models Strong knowledge of AWS infrastructure and services Relevant experience with Large Language Models (LLMs) and their applications Deep understanding of Software Architectural principles and practices Define best practices for engineering Collaborate with other teams on system design and architecture Communicate clearly with non-specialists and stakeholders Share technical knowledge and influence team decisions Foster a collaborative environment within the team What Do We Offer? Remote work: work from anywhere or one of our offices around the globe Flexibility: flexible schedules driven by performance Fintech industry: dynamic environment to boost creativity Referral bonus program: refer someone ideal for a role and get rewarded Learning & development: Premium Coursera subscription Language classes: free English, Spanish, or Portuguese classes Social budget: monthly budget to connect with your team dLocal Houses: option to work from a world-wide location for a week with your team For people based in Montevideo (Uruguay) applying to non-IT roles, 55% monthly attendance to the office may be required What 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. #J-18808-Ljbffr