About Us
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dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Our platform increases conversion rates and simplifies payment expansion effortlessly. We operate as both a payments processor and merchant of record, making it possible for our clients to make inroads into the world's fastest-growing, emerging markets.
Our team is an amazing global group that makes it all happen, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others. Being 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.
The Opportunity
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You'll 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 contribute to the development, deployment and enhancement 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. You'll work closely with cross-functional teams including data scientists, software engineers, and product managers to develop and improve scalable AI systems.
You'll research, evaluate, and integrate new AI technologies, frameworks, and tools to improve payment systems' efficiency, security, and performance. You'll build and deploy AI solutions using a stack that features Python, LLM libraries, and AI third-party services and AWS services.
Key Responsibilities
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* Collaborate closely with cross-functional teams to develop and improve scalable AI systems
* Research, evaluate, and integrate new AI technologies, frameworks, and tools
* Build and deploy AI solutions using a stack that features Python, LLM libraries, and AI third-party services and AWS services
Requirements
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To succeed in this role, you'll need:
* A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
* + 5 years of experience with Python programming language, LLM frameworks (Langchain, LlamaIndex), and interactive data apps (Streamlit, Gradio)
* Experience with Docker
* Experience on applying scalability patterns (caching, parallelism, routing, asynchrony, decoupling, etc)
* 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)
* 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
Benefits
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We offer a range of benefits to help you thrive in your career:
* 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
What Happens Next
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We're committed to creating the best candidate experience possible. Our Talent Acquisition team will review your CV and keep you posted by email at every step of the process.