• Drive generative and agentic AI initiatives from ideation through deployment, ensuring solutions are robust, scalable, and seamlessly integrated into our platform. • Work on tasks using generative AI and natural language processing such as text generation with agentic RAG, semantic similarity, and classification, leveraging current AI models. • Collaborate closely with software engineers to integrate GenAI models and agentic workflows directly into our platform, focusing on efficiency, security, and large-scale performance. • Use modern LLMOps practices and TDD (Test-Driven Development) to ensure reliable, maintainable pipelines and to enable rapid iteration and deployment of models. • Work with product management, sustainability experts, and the engineering team to translate business requirements into powerful, AI-driven features that enhance our product’s capabilities and usability.

• Generar código utilizando herramientas de IA a partir de requerimientos en lenguaje natural • Aplicar ciclos iterativos de desarrollo: describir → generar → ejecutar → validar → iterar • Utilizar herramientas como: GitHub Copilot; ChatGPT; Claude; Gemini; Cursor (u otras similares) • Asumir la responsabilidad técnica total del código generado (calidad, seguridad y rendimiento) • Traducir necesidades de negocio en especificaciones técnicas claras • Evaluar decisiones generadas por IA, incluyendo: Frameworks; Bases de datos; Patrones arquitectónicos; Controles de seguridad • Asegurar alineación con la arquitectura tecnológica de la organización • Revisar, ejecutar y depurar código generado por IA • Detectar errores, deuda técnica y problemas de performance • Diseñar y ejecutar pruebas unitarias y automatizadas • Garantizar cumplimiento de estándares de calidad • Validar que el código cumpla con políticas de seguridad • Identificar vulnerabilidades como: Credenciales expuestas; Problemas de control de acceso; Validaciones insuficientes; Uso inseguro de librerías • Aplicar buenas prácticas de desarrollo seguro • Trabajar con equipos multidisciplinarios: Frontend, Backend, QA, DevOps, Mobile y Arquitectura • Documentar decisiones técnicas y procesos • Evaluar nuevas herramientas de IA aplicables al desarrollo • Proponer mejoras en procesos de desarrollo asistido.

• As a Technical Lead for the Accounting Software team, you will drive the team’s technical direction and play a pivotal role in designing and architecting Accounting Software systems. • Lead design activities for API management and a portfolio of enterprise services • Enhance, build, and deliver enterprise-grade API products in a secure, stable, and scalable way • Partner across multiple business functions and technical areas • Contribute to large-scale, complex projects, and execute development tasks through completion. • Own monitoring, diagnosing, and resolving production issues. • Design and architect complex systems with the team, actively participating in design reviews. • Lead and mentor a team of junior developers, fostering their growth and development. • Ensure high quality in team deliverables through guidance, code reviews, and setting best practices. • Collaborate with cross-functional partners (Product, UX, QA) to ensure the team meets project timelines. • Perform code reviews to uphold high quality and standards across codebases. • Provide technical support for stakeholder groups, including Customer Success. • Work closely with QA to maintain software quality and increase automation coverage.

• We are looking for a highly skilled Backend Engineer to design, build, and scale secure, high-performance public-facing APIs. • You will play a key role in developing robust backend services using Python, FastAPI, Celery, PostgreSQL, and AWS, ensuring reliability, scalability, and performance in production environments. • Design, develop, and maintain public-facing RESTful APIs using Python and FastAPI • Architect scalable backend systems with clean, modular, and testable code • Implement asynchronous/background processing using Celery • Design and optimise schemas and queries in PostgreSQL • Deploy, monitor, and scale applications on AWS • Ensure API security, authentication, authorisation, and rate limiting • Implement observability (logging, metrics, tracing) for production systems • Write unit, integration tests and technical documentation • Participate in code reviews • Participate in architecture discussions and collaborate cross-functionally • Ensure high availability and reliability of APIs