Validate high-value emerging AI and automation technologies and de-risk their adoption across dLocal

Own technology scouting, prototyping, and evaluation for dLocal

Run instrumented spikes and benchmarks on LLMs, agentic systems, vector databases, orchestration frameworks, copilots, assistants, and other emerging technologies

Compare vendor and open-source options across quality, cost, latency, security, and integration complexity

Deliver decision memos with recommendations to adopt, watch, or avoid

Design and maintain evaluation environments with datasets, prompts, scenarios, and telemetry

Build automation and tooling to measure quality, robustness, latency, cost, and regressions

Build focused prototypes to explore architecture, integration patterns, operational constraints, security boundaries, and failure modes

Define readiness guidance, patterns, guardrails, limitations, operational considerations, and integration requirements

Coordinate hand-offs to engineering teams responsible for productionization and support transitions as needed





Track outcomes of Lab recommendations to improve evaluation methods

Work with Security, Legal, Compliance, and AI teams on risk assessments and governance recommendations

Maintain reusable checklists, decision templates, and standards

Incorporate learnings from external copilots and the AWS AI suite into adoption guidelines

Partner with AI and domain teams to ensure collaboration and clear boundaries

Participate in hiring as a technical evaluator and culture champion

Mentor engineers on evaluation methods, benchmarking, and experimental design

Share knowledge through internal write-ups, tech talks, meetups, and conferences

Requirements

8+ years of software engineering experience, including significant experience operating at senior or Staff-level scope

Deep hands-on experience building and evaluating systems based on LLMs and modern AI tooling

Strong software engineering fundamentals and ability to rapidly buil

📌 Staff AI Engineer – AI Labs (Madrid)
🏢 Jobtailor
📍 Madrid