Empleos de talent acquisition

What Will I Be Doing?

• AI System Ownership & Operations
• Own the lifecycle and day-to-day operation of company-wide AI systems, including both internal solutions and third-party tools.
• Ensure AI assistants and agents operate reliably at scale, balancing performance, cost, security, and usability.
• Coordinate with internal engineering teams and external vendors to manage integrations, changes, and improvements.

• AI Enablement & User Experience
• Work in partnership with Product to identify, prioritize, and shape AI capabilities that deliver clear user and business value.
• Act as a facilitator between AI capabilities and business needs, helping teams across the company leverage AI effectively.
• Partner with stakeholders to identify high-value use cases and translate them into practical AI-powered workflows.
• Design onboarding, documentation, and enablement materials to support widespread adoption.

• Best Practices & Governance
• Define, document, and promote best practices for prompt design, context management, evaluation, and safe usage of AI systems.
• Establish standards for handling context, data boundaries, and model behavior across assistants and agents.
• Monitor usage, quality, and risks, ensuring alignment with internal policies and responsible AI principles.

• Collaboration & Continuous Improvement
• Work closely with Data, Engineering, Security, and Compliance teams to ensure AI systems meet organizational standards.
• Gather feedback from users and stakeholders to continuously improve AI systems and ways of working. Support change management initiatives related to AI adoption across the company.

What Skills Do I Need?

• A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience applying AI and LLM-based systems in real-world environments, including assistants and agents used at scale.
• Solid understanding of the technology stack behind AI systems (LLMs, APIs, orchestration, prompt and context management, evaluation, cloud platforms), with the ability to guide technical decisions.
• Practical knowledge in building and deploying microservices.Capability to integrate third-party APIs and AI services.
• Experience with code versioning (GitHub, BitBucket, or similar).
• Experience with monitoring applications in production.
• Hands-on experience with AWS. GCP is a plus.
• Experience leading and developing engineers, providing technical direction, prioritization, and support while fostering high standards and autonomy.
• Strong ability to work in close partnership with Product, contributing to discovery, prioritization, and shaping AI capabilities that deliver clear user and business value.
• Strong communication skills, able to bridge between engineers, product managers, and business users.
• Experience defining standards, processes, and best practices in fast-evolving technical environments.
• Comfortable working with external vendors and third-party AI services.
• High level of ownership, accountability, and execution focus.
• Advanced/fluent English.
• Be a team player.

• 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.

• 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!

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  For people based in Montevideo (Uruguay) applying to non-IT roles, 55% monthly attendance to the office is required

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.