Senior AI Engineer - Cloud Platform

Summary

Join dLocal as a Research-Driven AI Engineer and pioneer AI solutions to transform software development. You will build AI-powered tools to enhance the SDLC, develop internal assistants, automate tasks, and research GenAI solutions to improve CI/CD workflows. The role involves prototyping AI-driven solutions, embedding AI into DevOps processes, and collaborating with cross-functional teams. You will share findings and contribute to platform innovation. This position offers a flexible, remote-first work environment with various benefits.

Requirements

• 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)
• 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
• 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

Responsibilities

• 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)
• 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
• 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
• 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

Preferred Qualifications

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

Benefits

• 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!