Senior Full Stack Engineer

We have a solid, functioning Ruby on Rails production platform. We have 9,000+ recipes, 79,861 meal components, 106,000 component ingredients, and 12 million behavioural data points. We have a 54-variable backend scoring engine. We have working AI prototypes for menu optimisation and personalised nutrition built by our COO in a single overnight session that are ready to be integrated into the production codebase. Your job is to bring the AI layer to life inside what we have already built. You are not starting from scratch. You are the engineer who connects our working prototypes to production, integrates modern AI capabilities into the Rails platform, and replaces manual operational processes with intelligent systems, all while working collaboratively alongside our existing engineering agency.

The candidate will have responsibilities across the following functions:

Integrate the AI Prototypes:

• Connect the personalised nutrition onramp prototype (React/Supabase/Netlify) to the production Rails database, branded, tested, and live to users.
• Productionize the AI Menu Builder inside the Rails app: database-backed, stable, usable by the culinary team without engineering support.
• Develop the 54-variable scoring engine as a real production service inside the Rails architecture.

Add AI-Powered Features to the Platform:

• Personalised meal planning onboarding: biomarker input, health goal selection, and AI-generated personalised weekly menu.
• Inventory-aware menu optimisation: AI factors real-time inventory levels into menu generation to burn $220K in inventory to $50K while maintaining quality
• AI-powered yield prediction: 79,861 meal components with yield accuracy issues causing $500-$2,000/week in ordering errors.
• Fix this with a system that learns from production data.
• Customer health data ingestion: Apple Health API, Google Health Connect, and lab PDF parsing.
• Replace Manual Processes with Intelligent Systems.
• Eliminate 30+ hours of COO time per week currently spent on manual menu optimisation.
• Automate operational workflows: ordering, yield calculations, and inventory management.
• Build marketing analytics integration: Triple Whale, cohort attribution, LTV/CAC tracking.

Establish and Uphold Engineering Standards:

• Formalise CI/CD pipeline, code review process, and deployment gates agreed with the agency, so both teams follow the same standards.
• Ensure every integration is built with data security as a first-class requirement: encryption at rest and in transit, RBAC, audit logging, compliance with CCPA, PCI-DSS, and HIPAA, as we build toward healthcare partnerships.
• Deliver a written infrastructure assessment in the first two weeks: current state, risks, and integration roadmap in plain language.