Senior AI / Full-Stack Systems Engineer

I am building a next-generation AI-powered nutrition platform for families that combines mobile applications, intelligent learning systems, IoT smart plate hardware, and machine learning nutrition analytics. Our goal is to help parents develop healthy eating habits for children through interactive learning, meal tracking, and intelligent recommendations. We are seeking a Senior AI / Full-Stack Systems Engineer who can own the most technically challenging aspects of the platform, from AI features and data architecture to IoT integrations and production-grade AI systems. This is a high-impact, hands-on role where you will directly shape the core architecture and intelligence of the product. The Product The platform includes: 1. Parent & Child Mobile Application Parents onboard and create profiles for each child. The app captures baseline data including: Child age, gender, and name Current food familiarity by food group Cultural or religious dietary restrictions Food allergies Parents then select foods being served. These selections automatically trigger educational learning modules for children. The learning experience follows this workflow: Meal Logging → Educational Video → Quiz Game → Learning Assessment → Meal Start → Meal End → Progress Reports Children watch short learning videos about the foods they will eat, then play quiz games that reinforce recognition and learning. All engagement and results are tracked per user. The application must operate fully independently, even without hardware integration. 2. AI-Driven Learning & Nutrition Intelligence The system records: Video engagement Quiz performance Food exposure history Consumption behavior Machine learning models analyze this data to: Calculate food acceptance scores Detect food aversion patterns Identify texture or category preferences Generate personalized nutrition recommendations The platform continuously learns from behavior across meals to help parents guide children toward balanced nutrition. 3. Smart Plate IoT Integration The platform integrates with a smart food plate equipped with weight/pressure sensors. The plate streams real-time readings to the cloud database. Captured data includes: Initial weight of each food section Continuous weight changes Final weight after the meal System logic determines whether weight changes are temporary or permanent consumption. The app uses this data to: Track food consumption per meal Calculate macro nutrient breakdowns Generate meal completion events Detect when a meal is finished Trigger plate responses (lights, sounds) 4. Nutrition Analytics & Reporting The platform calculates: Macro nutrient percentages Daily consumption totals Food group balance These values are compared to recommended nutritional ranges stored in the database. If values fall outside optimal ranges, the system provides: Recommendations for the next meal Suggested ingredient alternatives Food group adjustments Parents receive detailed reports, while children see gamified progress dashboards and sticker-style achievements. 5. AI Agents & Intelligent Automation We are building advanced AI capabilities including: Food learning agents Nutrition recommendation engines Behavioral pattern recognition Automated reporting generation Internal AI operational tools We also plan to deploy agentic workflows to automate data analysis, anomaly detection, and platform operations. What You’ll Do Architecture & Platform Ownershi Design the core architecture of the AI-powered nutrition platform Build scalable backend services and data pipelines Lead development of mobile app APIs, AI services, and IoT integrations AI Product Engineering Build production-ready AI features including: Personalized nutrition recommendations Food recognition learning modules Quiz evaluation systems Behavioral analysis models Automated progress reporting

Projektazonosító: 40281532