Ai Engineering Leader

Summary

Join dLocal, a global leader in payment processing, as an AI Engineering Leader. You will guide a team developing enterprise-level AI solutions, overseeing projects from conception to deployment. This role demands strong technical expertise and leadership skills, requiring collaboration with business and engineering teams. You will mentor team members, drive technical direction, and ensure scalability and robustness in projects. dLocal offers a flexible, remote-first culture with travel, health, and learning benefits. Be part of a diverse, global team impacting millions daily.

Requirements

• A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Strong proficiency in Python and a deep familiarity with standard machine learning 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
• Practical knowledge in building and deploying microservices
• Capability 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
• Be a team player

Responsibilities

• Collaborate closely with both business and engineering teams to identify, define, and prioritize AI and machine learning projects
• Lead the quick and effective development of proofs of concept for various AI initiatives
• Design, build, and deploy AI solutions using a stack that features Python, machine learning libraries, AI third-party services, and AWS services
• Serve as a mentor and technical leader within the team, fostering a culture of continuous learning and improvement
• Communicate and plan between other teams
• Hire for your team
• Drive technical direction in projects and ensure they meet scalability and robustness requirements, involving other stakeholders when needed

Preferred Qualifications

Experience in GCP

Benefits

• Flexible, remote-first dynamic culture
• Travel benefits
• Health benefits
• Learning benefits