Staff Engineer, AI R&D

Posted: 2026-10-06

Why Join dLocal?dLocal is the financial infrastructure powering global commerce in the world's fastest-growing markets. The biggest companies in the world trust us to unlock growth in 60+ countries across emerging markets—moving money where others see complexity. We don't just process payments; we are architects of payment ecosystems and partners in our customers' expansion. You'll work alongside 1,300+ teammates from 40+ nationalities and tackle global challenges from day one.

What's the Opportunity? As a Staff Engineer in AI R&D, you set the technical direction for agentic and LLM-based systems, raise the engineering bar of the teams around you, and take on the hardest design and production problems. You will join one of our AI R&D teams, matched to your profile and to the company's most pressing needs, and you will work across team boundaries whenever the problem requires it. You will also take technical leadership of important initiatives: shaping the approach, guiding the team through execution from design to production, and keeping the work aligned with peers across engineering and with the business areas it serves. You will engage with those stakeholders directly, so that decisions are made quickly and with full context. The areas where you could contribute include: AI-native software delivery: agents that support the full software lifecycle, from planning and coding to review, testing and incident response. Business process automation: a self-service platform where business areas configure and own agentic automations, with human review and full traceability. AI platform foundations: shared services such as LLM access and routing, secure tool and system integrations, reusable agent components and governed skills and plugins. Where you land is decided during the selection process, based on your experience, your interests and the needs of each team.

What Will I Be Doing? Technical Leadership of Initiatives

Act as the technical lead of AI initiatives, from the first definition of the problem through delivery in production, working alongside the engineers and team leads who execute them.

Work directly with peers and business stakeholders to understand needs, agree on scope and priorities, and keep expectations aligned as the work evolves.

Translate business goals into technical plans, milestones and trade-offs, and raise risks early.

Make sure initiatives reach production with outcomes that can be measured and explained to the business.

Architecture & Technical Direction

Lead the design and architecture of AI systems, including agentic workflows, retrieval, tool use, orchestration and state management, built by one or several teams.