The Role
The role involves architecting and designing scalable AI systems for payment processing, collaborating with cross-functional teams, and integrating innovative AI technologies.
Summary Generated by Built In
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, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others. 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?
Join a cutting-edge team at the forefront of revolutionizing payment systems using advanced AI technology for automation and augmentation. This role offers a unique opportunity to architect, design, and oversee the implementation of AI-powered solutions within the payment industry.
As a key member of the team, you will have a direct and impactful role, potentially shaping the trajectory of the company. You'll be able to experience firsthand the substantial influence your contributions will have on our company's growth and success. This dynamic environment encourages innovation and creativity, empowering you to shape the future of payment technology.
What will I be doing?
- Collaborate closely with cross-functional teams including data scientists, software engineers, and product managers to architect and design scalable AI systems.
- Research, evaluate, and integrate new AI technologies, frameworks, and tools to ensure we are utilizing the most innovative and recent technologies in the market.
- Oversee the deployment and maintenance of AI solutions using a stack that features Python, LLM libraries, AI third-party services, and AWS services.
- Define and implement best practices for AI system architecture, ensuring robustness, scalability, and maintainability.
- Adapt quickly and efficiently to the rapidly evolving technological landscape, ensuring our AI solutions remain cutting-edge.
- Develop a holistic vision for the application of AI, fostering and enhancing its use across the entire IT team.
- Create and promote best practices, training programs, and frameworks to facilitate rapid adoption of AI technologies by all teams.
What skills do I need?
- A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- + 7 years of experience with Python programming language, LLM frameworks (Langchain, LlamaIndex), and interactive data apps (Streamlit, Gradio).
- Extensive experience with Docker and container orchestration.
- Proven expertise in applying scalability patterns (caching, parallelism, routing, asynchrony, decoupling, etc).
- Deep familiarity with Architecture for LLM Applications and Prompt Engineering techniques/patterns.
- Experience with DevOps best practices, including version control (Git), infrastructure as code (IaC), and continuous integration/continuous deployment (CI/CD).
- Extensive experience with Cloud infrastructure (AWS, Azure, or GCP).
- Excellent problem-solving skills, critical thinking, and the ability to communicate complex technical concepts effectively.
- Desirable experience with evaluation and observability of generative AI applications.
- Fluent English proficiency is a mandatory requirement for this position.
What do we offer?
Besides the tailored benefits we have for each country, dLocal will help you thrive and go that extra mile by offering you:
- Remote work: work from anywhere or one of our offices around the globe!*
- Flexibility: we have flexible schedules and we are driven by performance.
- Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity.
- Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded.
- Learning & development: get access to a Premium Coursera subscription.
- Language classes: we provide free English, Spanish, or Portuguese classes.
- Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!
- dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!
*For people based in Montevideo (Uruguay) applying to non-IT roles, 55% monthly attendance to the office is required
What happens after you apply?
Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. 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!
Top Skills
AWS
Azure
Docker
GCP
Gradio
Llm Frameworks
Python
Streamlit
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The Company
What We Do
dLocal started with one goal – to close the payments innovation gap between global enterprise companies, and customers in emerging economies. We have over 900 payment methods, in more than 40 countries.
With the ability to accept local payment methods and facilitate cross-border fund settlement worldwide, our merchants reach billions of underserved consumers in the high-growth markets of Africa, Asia, and Latin America. dLocal offers the ideal payment solutions for global commerce:
Payins: Accept local payment methods
Payouts: Compliantly send funds cross-border
Defense Suite: Manage fraud effectively
dLocal for Platforms: Unify your platform’s payment solution
Local Issuing: Localize payments for your gig-economy workers, suppliers, and partners
