Ai Engineering Leader

Join to apply for the AI Engineering Leader role at dLocal.
Overview
dLocal enables the biggest companies in 40 countries in emerging markets to collect payments.
Global brands rely on us to increase conversion rates and simplify payment expansion.
As both a payments processor and a merchant of record where we operate, we help merchants make inroads into the world's fastest-growing, emerging markets.
By joining us you will be part of a global team that works in a flexible, remote-first culture with travel, health and learning benefits, among others.
We are 1000+ teammates from 30+ nationalities, building an international career that impacts millions of people's daily lives.
We are builders, customer-centric, and if this sounds like you, you will thrive in our team.
Opportunity
The AI Engineering Leader has a pivotal role in our organization, guiding the team that develops enterprise-level solutions to scale and automate value-driven outcomes for the business.
The leader will oversee all aspects of AI engineering—from conceptualization to deployment—ensuring the delivery of cutting-edge solutions that meet business and technical requirements.
This role blends technical depth with leadership to drive AI projects from concept to implementation.
Responsibilities
Collaborate with business and engineering teams to identify, define, and prioritize AI and machine learning projects
Lead rapid and effective development of proofs of concept for AI initiatives
Design, build, and deploy AI solutions using Python, standard ML libraries, AI third-party services, and AWS
Mentor and lead the team, fostering a culture of continuous learning and improvement
Communicate and plan across other teams
Hire for your team
Drive technical direction in projects and ensure scalability and robustness, involving other stakeholders as needed
Qualifications
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Strong proficiency in Python and familiarity with standard ML libraries
Experience in applied machine learning projects
Practical understanding of Large Language Models (LLMs) and Natural Language Processing (NLP)
Extensive hands-on experience with AWS; GCP experience is a plus
Practical knowledge in building and deploying microservices
Ability to integrate third-party APIs and AI services
Experience with monitoring applications in production
Experience with code versioning (GitHub, Bitbucket, or similar)
Excellent written and verbal communication
Enjoy writing documentation and understand why it's valuable
Advanced/fluent English
Team player
What we offer
Remote work: work from anywhere or from one of our offices around the globe
Flexibility: flexible schedules and performance-driven culture
Fintech industry: dynamic and evolving environment that fosters creativity
Referral bonus program: internal talent as recruiters
Learning & development: Premium Coursera subscription
Language classes: free English, Spanish, or Portuguese classes
Social budget: monthly budget to connect with your team
dLocal Houses: support for working remotely from different locations
Note for Montevideo applicants: for non-IT roles, 55% monthly attendance to the office is required
What happens after you apply?
Our Talent Acquisition team is committed to a great candidate experience.
We will review your CV and keep you posted by email at every step of the process.
Also, you can check out our webpage, LinkedIn, Instagram, and YouTube for more about dLocal
Seniority level
Not Applicable
Employment type
Full-time
Job function
Engineering and Information Technology
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