Senior Full Stack AI Platform Architect for Healthcare
Opportunity Summary
You will help bring an enterprise AI operating system into production by connecting existing platform architecture, workflows, dashboards, and AI agent concepts into a working application. The work includes building a production ready backend with secure REST APIs, developing a modern web application, and integrating multiple AI agents into a centralized ecosystem. You will implement authentication and role based security, build real time dashboards, and integrate healthcare and financial systems such as EHR and accounting and banking APIs. Deployment will be containerized using Docker, with attention to performance and security. This role is suited for engineers who have built scalable AI powered SaaS systems and can participate in architecture discussions and roadmap planning.
Ideal Candidate
A senior or staff level full stack engineer who has shipped AI SaaS platforms end to end, including API security, agent orchestration, and Docker based deployments. Experience integrating with healthcare or regulated systems is strongly aligned.
Project Insights
- A staged delivery plan that validates APIs, auth, and one agent workflow early reduces risk
- Strong observability and error handling is critical for agent based systems
- Containerized deployment with consistent environments speeds collaboration and iteration
How to Prepare
- Outline your delivery sequence, backend APIs, auth, first agent integration, then dashboards
- Discuss how you will implement monitoring, tracing, and safe retries for agent workflows
- Prepare examples of similar integrations and production readiness practices you used
Typical Challenges
- Designing secure integrations across healthcare and financial systems
- Orchestrating multiple AI agents reliably in production workflows
- Delivering real time dashboards and acceptable performance under load
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Project Details
Skills & Requirements
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