• Contribute to ongoing product and engineering initiatives by supporting feature development and platform enhancements • Assist in designing and refining product features, internal tools, and scalable data workflows • Write, test, and debug code with guidance from engineering team members • Participate in standups, sprint planning, and code reviews to support high-quality delivery • Collaborate cross-functionally with product, data, and engineering teams to enhance user experience and improve data usability • Assist in troubleshooting and resolving bugs and performance issues • Leverage AI development tools (e.g., ChatGPT, Claude, Cursor, GitHub Copilot) to accelerate coding and problem-solving • Contribute to AI-enabled features, workflows, or internal tools using LLMs and automation frameworks • Contribute to a defined project or key initiative throughout the internship • Present key learnings, outcomes, and contributions at the conclusion of the internship

• Liderar un equipo de desarrollo mobile, asegurando la adopción de mejores prácticas de ingeniería • Diseñar e implementar soluciones escalables, robustas y de alta calidad • Definir la arquitectura de aplicaciones mobile y participar en decisiones técnicas clave • Desafiar el status quo tecnológico, participando en la planificación del roadmap y estimaciones de alto nivel • Ser referente técnico del equipo, combinando hands-on en código con liderazgo • Mentorear y acompañar el crecimiento del equipo, promoviendo autonomía y toma de decisiones • Interactuar con distintos stakeholders para llevar adelante features end-to-end, desde su definición hasta producción

• Contribute to the development and maintenance of full-stack applications that power core products and platforms. • Build responsive, performant user interfaces using React. • Develop and maintain backend services using Go and event-driven architectures. • Work with microservices in containerized environments using Docker and Kubernetes. • Participate in architecture discussions and contribute ideas that improve performance and maintainability. • Collaborate with engineers, product managers, designers, and QA to deliver features end-to-end. • Monitor and debug your code in production, contributing to application reliability and performance improvements. • Write automated tests and follow CI/CD best practices to ensure quality deployments. • Participate in code reviews, technical discussions, and knowledge sharing across teams. • Join on-call rotation to support production systems and assist in incident response.

• Design, implement and deliver scalable AI-centric software systems. • Drive the development of agentic AI capabilities for identifying vulnerabilities, automating penetration testing processes, workflow optimization and enhancing threat intelligence. • Own and drive the end-to-end development of product features from ideation to production deployment and monitoring. • Actively contribute to and drive the design and implementation of AI-enabled systems, promoting effective SDLC processes. • Lead technical discussions, code reviews and design sessions, sharing your expertise to uplift the team's capabilities. • Provide mentorship and support to junior engineers, encouraging professional growth and development. • Collaborate closely with cross-functional teams to integrate AI capabilities into broader systems and applications.