Lead Software Engineer - Ai Product Development (Data) - Clarivate Analytics

OverviewIn this Lead role, you shape AI-powered product platforms, building reliable backend services and data pipelines.You’ll work within the LS&H Innovation group to drive AI-enabled capabilities, collaborating across engineering, product, and cloud ops to deliver scalable solutions.You’ll tackle reliability challenges in LLM-driven applications and guide technical direction from concept to production.This opportunity combines hands-on backend work with strategic influence in a fast-paced, cross-functional team.Compensaciones / Beneficioshybrid workflexible hoursequal employment opportunitiescore business hours in CETglobal time-zone availabilityfocus on AI innovationResponsabilidadesDefine and steer AI platform initiatives from concept to productionDesign, develop, and maintain backend services (APIs, microservices, ETL) in Azure or AWSTranslate requirements into high-quality code and proofs-of-conceptCollaborate with Cloud Operations, Solution Architecture, Product Engineering, and SMEsBuild and iterate LLM-based or agentic AI applications with attention to reliability and AI limitationsEvaluate and integrate with multi-language applications (e.g., Java, Typescript) when neededLead technical approach from design through implementation with ownershipTest and improve solutions via unit tests, automation, and iterative developmentAdvance projects from concept to prototype and contribute to production-focused plansOperate in an agile, fast-paced environment and drive continuous improvementRequisitos principales7+ years of professional software engineering experience4+ years developing backend systems in Python (APIs, microservices, ETL pipelines)5+ years of experience in cross-functional, agile teams3+ years of experience with LLMs or agentic AI applicationsBachelor’s degree in computer science, Software Engineering, or related field (or equivalent)Experience with cloud environments (Azure or AWS) and deploying backend servicescollaboration in cross-functional teamsmentoring or technical guidance to peersinitiative and ownershipPython backend engineeringAPIs and microservicesETL pipelines and data engineering

Requisitos principales7+ years of professional software engineering experience 4+ years developing backend systems in Python (APIs, microservices, ETL pipelines) 5+ years of experience in cross-functional, agile teams 3+ years of experience with LLMs or agentic AI applications Bachelor’s degree in computer science, Software Engineering, or related field (or equivalent) Experience with cloud environments (Azure or AWS) and deploying backend services collaboration in cross-functional teams mentoring or technical guidance to peers initiative and ownership Python backend engineering APIs and microservices ETL pipelines and data engineering