Role Description Nexaminds is looking for a Principal Backend Engineer & AI to join our engineering team. In this role, you'll design and build scalable backend services while driving the integration of cutting-edge AI capabilities into modern cloud applications. You'll collaborate with cross-functional teams to develop AI-powered backend solutions, implement LLM integrations, and build highly reliable distributed systems that power next-generation products. Qualifications - 5–8 years of professional experience as a Backend Engineer or Software Engineer. - Expert-level experience developing backend applications with Node.js. - Strong experience designing scalable microservices and distributed backend architectures. - Hands-on experience integrating AI/ML capabilities into backend systems. - Experience working with Large Language Models (LLMs), including API integrations (OpenAI, Anthropic, or similar). - Experience with Prompt Engineering and Retrieval-Augmented Generation (RAG) architectures. - Experience implementing AI orchestration frameworks, vector databases, and AI-driven APIs. - Strong experience working with Message Queues (MQ) for asynchronous and event-driven architectures. - Experience using GitHub, Terraform, and JFrog Artifactory within CI/CD environments. - Strong understanding of REST APIs, microservices, distributed systems, and cloud-native development. - Experience writing clean, maintainable, and well-tested production code. - Excellent communication and collaboration skills in Agile engineering environments. Requirements - Nice to Have: - Experience with Java backend development. - Experience with Google Cloud Platform (GCP) services such as Dataflow and BigQuery. - Experience with Azure services, particularly Event Hub. - Experience with Python, especially for AI workflows and data processing scripts. - Familiarity with Kubernetes, Docker, and Infrastructure as Code best practices. - Experience optimizing AI workloads and backend application performance. Job Duties - Design, develop, and maintain scalable backend services using Node.js. - Build AI-powered backend solutions leveraging LLM APIs and modern AI frameworks. - Develop and optimize AI integrations using Prompt Engineering, RAG, and vector database technologies. - Design event-driven architectures utilizing Message Queues for scalable distributed systems. - Collaborate with cross-functional engineering teams to deliver secure, reliable, and high-performance backend services. - Develop AI-driven APIs and backend services that integrate with modern cloud platforms. - Build and maintain CI/CD pipelines using GitHub, Terraform, and JFrog Artifactory. - Participate in architecture discussions, code reviews, and technical decision-making. - Ensure high standards for code quality, testing, security, and system reliability. - Contribute to technical documentation, engineering best practices, and continuous platform improvement. Benefits - Stock options 📈 - Remote work options 🏠 - Flexible working hours 🕜 - Benefits above the law

• Apoyo en los proyectos de desarrollo y mantenimiento que gestionamos actualmente como en futuros nuevos proyectos. • Trabajar con tecnología Drupal, principalmente su última versión; Drupal 10 y 11. • Colaborar con clientes y asistir a reuniones de equipo de manera semanal.

• You will lead the Payments team • Be accountable for payments working correctly, reliably, every single time • Shape the roadmap and argue for product direction • Lead a team of senior engineers • Own the full payments product — front end and money mechanics • Multiple integrated payment facilitators kept correct and uninterrupted • Handle bugs, issues, and production support — end to end • Engage in product planning and estimation

• Design, develop, and maintain scalable backend applications and services using C# and .NET/.NET Core. • Architect and build enterprise-grade RESTful APIs and backend services. • Evaluate and improve application architecture, scalability, and maintainability. • Promote engineering standards, coding best practices, and clean software architecture. • Design and support cloud-native applications within Microsoft Azure. • Collaborate on deployment strategies, cloud optimization, and infrastructure improvements. • Troubleshoot and resolve complex production issues. • Mentor junior and mid-level software engineers.