Match score not available

AI Engineer III

extra holidays - fully flexible

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Spain, Brazil, Argentina

Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, AI, ML or related field, 5+ years experience with Python, LLM frameworks, interactive data apps.

Key responsabilities:

Collaborate with cross-functional teams to develop scalable AI systems
Research, integrate new AI tech to improve payment systems
Build deploy AI solutions using Python, LLM libraries, AWS services

dLocal Management Consulting Large https://www.dlocal.com/

201 - 500 Employees

HQ: Montevideo

See more dLocal offers

Job description

Why you should join dLocal?

dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.

By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health, and learning benefits, among others. Being a part of dLocal means working with 900+ teammates from 25+ 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.

What's the Opportunity?

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.

What Will I Be Doing?

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.

What Skills Do I 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.

What happens after you apply?

Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process!

Also, you can check out our webpage, Linkedin, Instagram, and Youtube for more about dLocal!