Ai Engineer Iii

Summary

Join dLocal's cutting-edge team and revolutionize payment systems using advanced AI technology. This role offers a unique opportunity to contribute to the development, deployment, and enhancement of AI-powered solutions within the payment industry. You will collaborate with cross-functional teams, research and integrate new AI technologies, and build and deploy AI solutions using Python, LLM libraries, and AWS services. The ideal candidate possesses a Bachelor's or Master's degree in a related field, along with 5+ years of experience with Python, LLM frameworks, and interactive data apps. dLocal offers a flexible, remote-first culture with travel, health, and learning benefits.

Requirements

• 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
• Fluent English proficiency

Responsibilities

• Collaborate closely with cross-functional teams including data scientists, software engineers, and product managers to develop and improve scalable AI systems
• Research, evaluate, and integrate new AI technologies, frameworks, and tools to improve payment systems' efficiency, security, and performance
• Build and deploy AI solutions using a stack that features Python, LLM libraries, and AI third-party services and AWS services

Preferred Qualifications

Desirable experience with evaluation and observability of generative AI applications

Benefits

Flexible, remote-first dynamic culture with travel, health, and learning benefits