Offer summary

Qualifications:

Solid understanding of the Software Development Lifecycle (SDLC) including planning, coding, testing, and monitoring., Experience with CI/CD systems and infrastructure automation tools like Terraform and Kubernetes., Proficiency in Python and scripting languages, with experience in cloud environments such as AWS or GCP., Practical experience with AI/ML tools and code-generation technologies, along with strong problem-solving skills..

Key responsabilities:

Build AI-powered tools to enhance various stages of the SDLC, including code generation and testing.

Research and prototype AI solutions to improve CI/CD workflows and reduce delivery friction.

Collaborate with engineering and product teams to identify pain points and implement impactful AI interventions.

Share findings and insights through workshops and internal demos to promote knowledge sharing across the organization.

Job description

Why should you 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 1000+ teammates from 30+ 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?

We are looking for a Research-Driven AI Engineer to join our Platform Team at dLocal! In this role, you will pioneer AI solutions to transform how we build and ship software—boosting developer productivity, accelerating delivery cycles, and scaling our platform capabilities. You’ll work at the intersection of research and engineering, embedding AI into the Software Development Lifecycle (SDLC) to help our teams ship faster, more reliably, and with greater autonomy.

What will I be doing?

AI for Developer Acceleration:

Build AI-powered tools to enhance each stage of the SDLC: from code generation and code reviews to testing, documentation, and deployment.

Develop internal assistants and copilots to reduce cognitive load and empower developers to move faster with fewer manual steps.

Automate repetitive development and operational tasks (e.g., writing IaC, generating release notes, updating documentation).

Research & Prototyping:

Investigate GenAI solutions (e.g., GitHub Copilot, CodeLlama, GPT-Engineer) to improve CI/CD workflows and eliminate friction in delivery pipelines.

Design, benchmark, and deploy AI-driven solutions that reduce lead time, increase deployment frequency, and enhance reliability.

Explore custom model fine-tuning and retrieval-augmented generation (RAG) approaches when needed.

Platform & Delivery Innovation:

Prototype features like AI-driven deployment optimizations, cost-aware autoscaling, or predictive incident resolution.

Embed AI into DevOps processes to identify bottlenecks, automate root cause analysis, and surface continuous delivery insights.

Collaborate with SRE and developer experience teams to evolve our Internal Developer Platform (IDP) with intelligent automation.

Cross-Team Collaboration & Knowledge Sharing:

Partner with engineering, DevOps, and product teams to identify key pain points and deliver impactful AI interventions.

Share findings through workshops, whitepapers, and internal demos to scale learnings across the organization.

What skills do I need?

Technical Expertise:

Solid understanding of the full Software Development Lifecycle (planning, coding, testing, releasing, monitoring).

Experience with CI/CD systems and infrastructure automation (Terraform, Kubernetes, Ansible).

Proficiency in Python and scripting (e.g., Bash, Go); ability to work across AI, infrastructure, and tooling codebases.

Experience working in cloud environments (AWS/GCP) and with container orchestration (Docker, Kubernetes).

AI/ML Knowledge:

Practical experience with LLMs and code-generation tools (e.g., Codex, StarCoder, Claude, GPT family).

Ability to prototype, benchmark, and deploy AI solutions that improve developer workflows.

Familiarity with prompt engineering, fine-tuning, or RAG pipelines is a plus.

Mindset & Communication:

Research-driven and curious: you’re always testing new ideas, tools, and approaches.

Capable of explaining complex AI solutions to cross-functional teams.

Strong problem-solving skills: you identify inefficiencies and use AI to unlock new delivery velocity.

Bonus Points For:

Published work or open-source contributions in AI applied to software engineering.

Experience building or contributing to internal developer platforms (IDP).

Experience applying AI to improve software quality, deployment safety, or observability.

What do we offer?

Besides the tailored benefits we have for each country, dLocal will help you thrive and go that extra mile by offering you:

- 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: our internal talents are the best recruiters - 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: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!

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

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!

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