Experteer Overview ¿Está considerando presentar su candidatura para este trabajo? Compruebe todos los detalles en esta descripción del puesto y luego haga clic en "Solicitar". In this role you will lead the development of AI-powered backend systems, building reliable, scalable solutions in a small, skilled team. You will shape architecture and deliver APIs, microservices, and ETL pipelines in cloud environments. You’ll drive AI-driven product initiatives, collaborating across engineering, product, and cloud operations to scale LSu0026amp;H capabilities. This is a hands-on leadership position with a strong impact on reliability and product direction in a fast-paced setting.Compensaciones / Ventajas• Scope and shape AI platform initiatives for LSu0026H products from concept to implementation• Design, develop, and maintain backend services (APIs, microservices, ETL) in Azure/AWS• Translate needs from multiple teams into high-quality, reliable code and proof-of-concepts• Collaborate with Cloud Operations, Solution Architecture, Product Engineering, and SMEs• Build and iterate LLM-based or agentic AI applications, ensuring reliability and quality• Evaluate integration with applications in other languages (e.g., Java,



Typescript)• Lead the technical approach from design through implementation• Test and improve solutions via unit tests, automation, and iterative development• Advance projects from concept to prototype and contribute to production roadmaps• Work in an agile environment and contribute to continuous improvement cultureResponsabilidades• Bachelor’s degree in computer science, software engineering, or related field, or equivalent experience• At least 7 years of professional software engineering experience• At least 4 years backend experience in Python (APIs, microservices, ETL pipelines)• At least 5 years collaborating in cross-functional, agile teams• At least 3 years working with LLMs or agentic AI applications xqbhyrx with awareness of reliability challenges• Experience contributing to or defining software architecture for complex systems• Experience with AI/ML workflows (e.g., RAG, vector databases, evaluation techniques)• Experience in cloud environments (Azure or AWS), including deploying or integrating backend services• Mentoring or providing technical guidance to other engineers (preferred)Requisitos principales• hybrid work model (office 2-3 days a week)• full-time role• CET core hours with global flexibility• collaborative team• opportunity to shape AI platform direction

📌 Lead Software Engineer - AI Product development (Barcelona)
🏢 Clarivate Analytics
📍 Barcelona