Experteer Overview In this role you will lead the development of AI-powered backend platforms that underpin LSu****amp;H products.

You will work closely with a small, skilled engineering team to shape technical direction and deliver reliable, scalable data-driven solutions.

You'll build and evolve APIs, microservices, ETL pipelines, and LLM-based applications in cloud environments.

You will translate cross-team needs into high-quality code while driving improvements and best practices.

This position offers the opportunity to influence architecture and push AI capabilities in a fast-paced, hybrid setting.

Compensaciones / Incentivos • Scope and shape AI platform initiatives from concept to production • Design and maintain backend services, APIs, microservices, and ETL pipelines in Azure or AWS • Translate requirements from multiple teams into reliable code and proof-of-concepts • Collaborate with Cloud Operations, Solution Architecture, Product Engineering, Product Management, and SMEs • Build and iterate LLM-based or agentic AI applications with emphasis on reliability and AI safety • Evaluate and integrate components written in other languages (e.g., Java, Typescript) • Lead the technical approach on assigned work from design to implementation • Test,



validate, and improve solutions through unit tests, automation, and iterative development • Advance projects from concept to prototype and contribute to production plans • Work in an agile, fast-paced environment and contribute to continuous improvement Responsabilidades • Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience • ?7 years software engineering experience, with ?4 years Python backend (APIs, microservices, ETL pipelines) • ?5 years experience in cross-functional, agile teams • ?3 years experience with LLMs or agentic AI applications • Experience in cloud environments (Azure or AWS) with deployment or integration of backend services • Experience contributing to software architecture for complex systems • Experience with AI/ML workflows (e.g., RAG, vector databases, evaluation techniques) • Mentoring or technical guidance to other engineers (preferred) Requisitos principales • hybrid work (office 2-3 days a week) • full-time position • opportunity to influence architecture • working within a cross-functional AI Innovation ecosystem

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