Overview 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 LS&H; capabilities. This is a hands-on leadership position with a strong impact on reliability and product direction in a fast-paced setting.

Compensaciones / Beneficioshybrid work model (office 2-3 days a week)full-time roleCET core hours with general flexibilitycollaborative teamopportunity to shape AI platform direction ResponsabilidadesScope and shape AI platform initiatives for LS&H; products from concept to implementationDesign, develop, and maintain backend services (APIs, microservices, ETL) in Azure/AWSTranslate needs from multiple teams into high-quality, reliable code and proof-of-conceptsCollaborate with Cloud Operations, Solution Architecture, Product Engineering, and SMEsBuild and iterate LLM-based or agentic AI applications, ensuring reliability and qualityEvaluate integration with applications in other languages (e.g., Java,



Typescript)Lead the technical approach from design through implementationTest and improve solutions via unit tests, automation, and iterative developmentAdvance projects from concept to prototype and contribute to production roadmapsWork in an agile environment and contribute to continuous improvement culture Requisitos principalesBachelor’s degree in computer science, software engineering, or related field, or equivalent experienceAt least 7 years of professional software engineering experienceAt least 4 years backend experience in Python (APIs, microservices, ETL pipelines)At least 5 years collaborating in cross-functional, agile teamsAt least 3 years working with LLMs or agentic AI applications with awareness of reliability challengesExperience contributing to or defining software architecture for complex systemsExperience with AI/ML workflows (e.g., RAG, vector databases, evaluation techniques)Experience in cloud environments (Azure or AWS), including deploying or integrating backend servicesMentoring or providing technical guidance to other engineers (preferred)collaborativementoringstrong communicationPython backend engineeringAzure / AWSLLM-based or agentic AI development

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