- 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 conferencesRequirements- 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