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