Backend Developer

Description

Summary: Seeking an experienced specialist to build a reliable, secure, and GDPR-compliant architecture for on-device Edge AI video analysis solutions. Highlights: 1. Develop advanced Edge AI solutions for on-device data processing 2. Mission to build secure, GDPR-compliant architecture for video analysis 3. Opportunity to work on MVP products from scratch **Overview** Our team develops advanced solutions in the field of Edge AI — technologies that enable on\-device data processing and video analytics without sending information to the cloud. We create products that meet high security standards and GDPR requirements. **Why the position is open** We need to implement an MVP Edge AI system: Raspberry Pi 4 firmware, an intermediate WebSocket service, and integration with AWS and a Laravel API for analytics and dashboards. The project requires a specialist with experience in IoT, backend integrations, and real\-time systems. **About the project** Edge AI is a solution for local video processing from cameras: analyzing demographic and behavioral metadata without storing images, triggering content changes, and aggregating data into dashboards. **Mission of the role** To build a reliable, secure, GDPR\-compliant architecture that enables on\-device video analysis, transfers anonymous data to the cloud, and ensures instant player reactions to detected events. **Duties** * Development and implementation of the data processing architecture for Raspberry Pi; * Integration of face recognition AI models; * Performance optimization and data security assurance; * Development of a Laravel module to retrieve statistics from AWS within an existing project; * Collaboration with the R\&D and Product teams to deliver the MVP and further scale the solution. **Required skills:** * 4\+ years of commercial Laravel development experience; * Deep understanding of network protocols, WebSocket, and REST API; * Experience working with Linux; * Experience integrating with AWS; * Knowledge of GDPR principles, secure data processing, and encryption; * Understanding of distributed system architecture, caching, and real\-time communication. **Nice to have:** * Experience implementing and optimizing AI/ML models; * Experience with DevOps practices (Docker, CI/CD, monitoring); * Experience working with Raspberry Pi; * Participation in building MVP products from scratch. **Technical specification:** Job Type: Full\-time Pay: R$2,000\.00 \- R$2,500\.00 per month