Experteer 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 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 / Beneficios

- 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 culture

Responsabilidades

- 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 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 general flexibility
- collaborative team
- opportunity to shape AI platform direction

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