• Design and develop scalable backend services using Python and FastAPI. • Build reliable document-processing pipelines capable of handling large PDFs (200+ pages). • Implement AI-driven document classification workflows using taxonomy-based logic and confidence scoring. • Design and maintain document taxonomies, classification schemas, and structured labeling systems. • Support multi-page document assembly using taxonomy-driven rules and page-level signals. • Integrate LLM APIs for document analysis and classification workflows (GPT-4 Vision API preferred). • Build robust asynchronous processing systems using queues, background workers, retry logic, and task orchestration. • Implement audit trails, data lineage tracking, taxonomy versioning, and classification rationale mechanisms. • Develop exception handling and fallback workflows, including 'needs review' paths for uncertain classifications. • Optimize backend performance, infrastructure utilization, and AI inference costs. • Collaborate with cross-functional teams to support compliance-oriented document workflows and business processes. • Support loan-processing workflows by classifying, validating, and assembling borrower documents such as KYC, income proofs, bank statements, and agreements.

• Desarrollo y mantenimiento de aplicaciones backend en entornos .NET enterprise • Diseño e implementación de sistemas de integración y mensajería asíncrona • Desarrollo de componentes de monitorización basados en SQL Server Service Broker • Gestión de colas, contratos, mensajes y procesos desacoplados • Desarrollo de APIs y servicios backend (Web API, MVC, Windows Services) • Implementación de lógica de reintentos, trazabilidad y manejo de errores en sistemas críticos • Participación en arquitecturas orientadas a eventos y sistemas de alta disponibilidad

• Desarrollo y mantenimiento de aplicaciones en Java en entornos empresariales. • Participación en el diseño, evolución y optimización de soluciones backend y full stack. • Colaboración con equipos técnicos multidisciplinares (arquitectura, negocio y analítica). • Integración de sistemas y soporte en la evolución de aplicaciones existentes. • Participación en la mejora continua de procesos y calidad del software.

• Drive the architecture, design, and implementation of new features, leveraging Python • Lead strategic architectural decisions, help drive alignment, and optimize applications for performance, scalability, and accessibility • Use best-in-class software development practices (unit tests, integration tests, performance tests, monitoring, detailed functional specification and test plans) to ensure RapidSOS' products remain highly reliable and fault tolerant • Identify opportunities to assess and enhance current applications, including refactoring code and upgrading technologies used • Collaborate in an agile environment with stakeholders across Engineering, Design, GTM, and Product to develop solutions for RapidSOS products • Leverage modern AI development tools (Claude Code, Cursor or similar) to accelerate delivery and improve code quality • Actively participate in code reviews and standups, sharing knowledge, championing best practices, and contributing to the continuous improvement of team processes • Own meaningful parts of our platform, have an impact, grow with the company