• Design, implement, and evolve RAG pipelines combining structured data, embeddings, and LLMs. • Develop and maintain prompt strategies used across multi-step agent workflows. • Integrate LLMs into production systems with attention to reliability, cost, and latency. • Orchestrate AI-driven workflows across internal services and third-party APIs. • Define and improve practices for prompt versioning, evaluation, and iteration. • Work closely with platform engineers to ensure AI systems are maintainable and observable. • Help the team reason about when deeper customization or model-level work may be warranted in the future.

• Lead technical evaluation and integration across acquired engineering teams, establishing shared architecture, standards, and platforms while navigating legacy constraints toward a unified SaaS vision. • Foster a collaborative, high-trust engineering culture by defining shared practices, mentoring engineers, and enabling cross-team alignment through forums and working groups. • Provide architectural leadership for scalable, reliable SaaS systems across multi-cloud environments, and guide the responsible integration of AI into products, services, and internal tooling. • Drive modernization of CI/CD, observability, and release practices to improve developer productivity, quality, and speed across teams. • Act as a technical multiplier through architectural reviews, prototyping, and cross-functional collaboration, ensuring acquisitions strengthen and simplify the overall platform.

• Set technical direction and lead architectural design for core backend systems that power a new consumer credit product. • Build distributed, event-driven services that are reliable, observable, and scalable—designed for long-term evolution. • Drive zero-to-one product development in collaboration with cross-functional partners, translating ambiguous product goals into high-impact solutions. • Champion engineering velocity and quality by shaping patterns, practices, and tooling across the stack. • Lead with an AI-native mindset—leveraging and integrating AI tools to improve development workflows, reduce friction, and accelerate impact. • Serve as a technical mentor and thought leader within a high-performing, fast-moving team. • Influence product direction through technical insights, customer empathy, and an ability to balance tradeoffs between speed, scale, and quality.

• Sumarse a proyectos de desarrollo end-to-end con impacto internacional