• Diseñar y mantener la capa BFF que alimenta nuestras apps móviles • Orquestar llamadas a microservicios, optimizar payloads, manejar caching y autenticación • Integrar asistentes conversacionales con RAG sobre datos financieros del cliente • Construir agentes autónomos para onboarding y resolución de problemas sin fricción • Diseñar personalización hiper-contextual en tiempo real

• Construir y evolucionar herramientas internas de gestión de transacciones y soporte • Diseñar agentes que resuelvan tickets de soporte end-to-end sin intervención humana • Implementar pipelines RAG sobre documentación regulatoria para compliance • Construir sistemas de extracción inteligente de documentos (KYC, identity, onboarding) • Automatizar workflows operativos que hoy frenan el crecimiento • Integrar con Salesforce y flujos de backoffice existentes

• Lead the development of major team-scoped projects, participate in cross-team initiatives for Remote's HR and Payroll products. • Actively participate in product work in the team: provide feedback, suggest solutions to the problems. Use technical insights and expertise to suggest product improvements. • Maintain good understanding of the team’s domain, both from product and engineering sides. • Provide feedback on code reviews. • Contribute to the shared codebase. • Debug and solve technical and business issues. • Participate in non-team activities, such as support rotations, hiring process, RFC discussions, etc. • Mentor and provide guidance to other engineers. • Investigate, propose and participate in implementation of improvements to our platform. • Implement interfaces with performance, accessibility, and API design in mind. • Redesign how engineering work ships with autonomous agents as the default execution layer. • Propose and operationalize agentic workflows end-to-end (spec → plan → execute → verify) to deliver outcomes faster. • Build reusable agentic workflows and primitives in the codebase so teams can apply them repeatedly across domains. • Use verification loops (tests, checks, evals, guardrails) to ensure results are correct, secure, reliable, and scalable.

• Design, develop, and deploy AI-powered applications using LLMs such as Claude, GPT, and other foundation models. • Utilize GitHub Copilot / Claude Code to accelerate software development, testing, debugging, and documentation. • Build AI agents, copilots, and workflow automation solutions. • Design and develop AI/ML-based solutions using modern frameworks and tools • Build and maintain backend services using .NET (C#, ASP.NET Core) • Deploy, manage, and optimize applications on Microsoft Azure • Integrate AI models into production systems and APIs • Work with structured data stored in Oracle DB, including performance tuning and query optimization • Collaborate with data scientists, product managers, and cross-functional teams • Implement data pipelines and workflows for AI model training and inference • Ensure scalability, reliability, and security of AI applications • Monitor model performance and continuously improve solutions