The role involves tracking and analyzing sales KPIs, building lead lists, and creating sales enablement materials. Additionally, the student will manage CRM quality in Pipedrive and identify process automation opportunities using AI tools.
Design and implement AI-powered features such as LLM integrations and RAG applications within a SaaS logistics platform. Collaborate across departments to identify AI value drivers and optimize internal development workflows using AI tools.
Develop and maintain automated unit, integration, and end-to-end tests while designing scalable test frameworks. Establish performance and load testing using Azure tools and integrate quality checks into CI/CD pipelines.
The role involves designing and developing new software components using .NET Core and continuously improving existing web applications. The developer will work across both backend and frontend to create scalable and performant logistics solutions.
