Senior Full Stack AI Engineer / AI Platform Architect – AI Operating System

Senior Full Stack AI Engineer / AI Platform Architect – Overview We are seeking an experienced Senior Full Stack AI Engineer to become a key technical partner in building an enterprise AI operating system for a growing multi-state healthcare organization. This is not a chatbot project. We already have the platform architecture, business workflows, dashboards, AI agent concepts, and product vision. We need an experienced engineer to bring everything together into a production-ready application. The ideal candidate has experience building scalable AI-powered SaaS applications, integrating multiple APIs, orchestrating AI agents, and deploying secure production systems. This has the potential to become a long-term partnership. ⸻ About the Platform We are building a centralized AI ecosystem that connects: * Executive AI Agents (CEO, COO, CFO, CMO) * HR & Recruiting AI * Revenue Cycle AI * Billing & Coding AI * Business Intelligence Dashboard * Marketing AI * Operations AI * Compliance AI * Long-Term Care AI * Clinical Decision Support The system will integrate with: * DrChrono EHR * QuickBooks Online * Plaid/Chase Banking * Microsoft 365 * Airtable * n8n * PostgreSQL * Docker * OpenAI * Claude * Perplexity * Local LLMs (future) This platform will be deployed on our own servers and eventually support multiple offices and business units. ⸻ Responsibilities * Build a production-ready backend * Develop secure REST APIs * Build a modern web application * Connect multiple AI agents * Implement authentication and role-based security * Build real-time dashboards * Integrate healthcare and financial APIs * Deploy using Docker * Optimize application performance * Participate in architecture discussions * Help shape the long-term AI roadmap ⸻ Required Skills * Python * FastAPI * React or Next.js * PostgreSQL * Docker * REST APIs * OAuth * OpenAI API * Git ⸻ Preferred Skills * LangGraph * CrewAI * AutoGen * MCP (Model Context Protocol) * Redis * Qdrant or Pinecone * Microsoft Graph API * DrChrono API * QuickBooks API * Plaid API * Healthcare integrations * HIPAA experience * Azure or AWS deployment * n8n automation ⸻ What We Already Have We are not starting from scratch. We already have: * Product vision * Business requirements * AI workflows * Dashboard designs * Agent concepts * Operational processes * Reporting requirements * Data sources * UI direction Your role is to transform these specifications into a scalable production application. ⸻ What Success Looks Like Deliver: * Secure login and user management * Live executive dashboard *. AI orchestration layer * Automated workflows * Production deployment * Scalable architecture for future AI agents ⸻ To Apply Please include: 1. A brief introduction about yourself. 2. Links to production applications you’ve built. 3. GitHub profile (if available). 4. Describe the most complex AI or SaaS platform you’ve developed. 5. Describe your experience with multi-agent systems. 6. List the APIs you’ve integrated (healthcare, finance, Microsoft, etc.). 7. Explain your preferred AI architecture for a production multi-agent platform. 8. Tell us why you’re the right person for this project. ⸻ Screening Questions * Have you built a production AI platform (not just a chatbot)? * Have you integrated multiple third-party APIs into one application? * Have you deployed applications with Docker? * Have you built applications using FastAPI and React? * Have you implemented OpenAI or Anthropic APIs in production? * What AI orchestration frameworks have you used (LangGraph, CrewAI, AutoGen, MCP, etc.)? * Are you available for a long-term engagement? Budget We are looking for expertise, not the lowest bidder. Please submit your hourly rate along with examples of comparable work. Strong candidates may transition into a long-term lead engineering role.