About the Role
We are seeking a Senior AI Engineer to join our innovative team at dLocal. This Senior AI Engineer remote position offers a unique opportunity to work on cutting-edge AI technologies that are transforming the payment industry. As a key player in our team, you will be responsible for architecting and implementing AI solutions that enhance our payment systems.
What You'll Do
- 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 solutions 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.
Requirements
- 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.
- Fluent English proficiency is a mandatory requirement for this position.
Nice to Have
- Desirable experience with evaluation and observability of generative AI applications.
What We Offer
- 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: 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: rent a house to spend one week anywhere in the world coworking with your team.
This Senior AI Engineer role at dLocal offers a unique opportunity to work remotely on innovative AI solutions in the FinTech sector, with a competitive salary and flexible work arrangements.
About dLocal
Explore dLocal careers in 2026 and discover exciting job openings in remote, hybrid, and office roles. Our platform offers advanced filters to refine your search, application tracking to stay updated, and valuable company insights to help you succeed. Uncover your next career opportunity at dLocal today and take the next step in your professional journey with us. Find your perfect fit now!
Who Will Succeed Here
Proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch, enabling the design and deployment of advanced AI models in a production environment.
Strong familiarity with AWS services (like SageMaker, Lambda, and EC2) for deploying scalable AI solutions, along with experience using Docker for containerization to streamline development and deployment processes.
A proactive mindset with a focus on continuous learning and adaptation to new AI technologies, coupled with the ability to work independently in a remote environment while managing time effectively across projects.
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