• Design, develop, and maintain scalable server-side logic and architectures • Implement efficient and reusable code for processing large datasets and managing complex AI workflows • Build and optimize APIs for data ingestion, retrieval, and integration with AI models • Work with data pipelines to handle large-scale text, multimedia, and linguistic datasets for training and serving AI models • Develop systems to integrate and deploy AI models seamlessly within backend architectures • Implement WebRTC and WebSocket protocols for real-time data exchange and communication • Support video and audio streaming features to enhance interactive AI applications • Design and maintain backend systems on cloud infrastructure such as AWS, Azure, or GCP • Implement security and data protection measures to safeguard sensitive data • Partner with frontend developers and AI researchers to design cohesive systems and ensure seamless user experiences

• Lead software development projects and provide technical guidance to other team members. • Develop and maintain APIs and services using C# (.NET / .NET Core). • Contribute to the evolution of a microservices-oriented architecture. • Work with events for service-to-service integration. • Create and maintain automated tests (unit, integration, contract). • Monitor services using structured logs, metrics and distributed tracing. • Participate in technical discussions, code reviews and architectural decisions.

• Develop and optimize backend solutions using C#, VB.NET, and SQL Server. • Ensure the quality, performance, and compliance of deliverables.

• Develop both existing and new product solutions • Work on driver behavior analysis, online maps, tachograph solutions • Collaborate with a team of Back-End and Front-End developers • Work under the guidance of an experienced technical lead • Participate in designing innovative and integrated fleet management solutions.