AI Agent Developer – Healthcare HIS Integration, LLMs & Workflow Automation

Project Overview We are developing an intelligent, conversational AI agent for clinics and healthcare facilities that can interact with patients naturally and perform administrative tasks directly within existing Hospital Information Systems (HIS) and clinic management software. Our objective is to build an AI agent that can carry out routine front-desk activities much like a trained human receptionist, while maintaining accuracy, security, patient privacy and reliable integration with clinical systems. This is not a simple chatbot project. We are looking for a developer with experience building production-grade AI agents capable of understanding user intent, navigating complex workflows, interacting with external systems and completing tasks with appropriate verification. Key Responsibilities 1. Conversational AI Agent Development • Develop natural, human-like conversational AI agents for patient interactions. • Support multi-turn conversations with context and memory. • Handle appointment booking, rescheduling, cancellation, doctor availability and clinic inquiries. • Understand changes in patient requests without losing conversation context. • Support multilingual interactions, including English and Arabic. • Implement appropriate human handoff when requests are unclear, sensitive or cannot be completed safely. 2. HIS / Clinic Management System Integration • Integrate AI agents with existing HIS, EMR/EHR and clinic management systems. • Read appointment schedules, doctor availability, clinic locations and relevant patient registration information through authorized interfaces. • Execute approved administrative workflows, including appointment creation, modification and cancellation. • Support REST APIs, FHIR/HL7 where applicable, webhooks and database-backed integrations. • Where APIs are unavailable, evaluate secure browser automation or robotic process automation (RPA) to interact with HIS interfaces as an authorized user. • Ensure that all actions are verified in the target system before confirming completion to the patient. 3. Agentic AI and Workflow Orchestration • Develop tool-using AI agents capable of selecting and executing appropriate actions. • Implement structured workflows, state management and error recovery. • Prevent duplicate bookings, repeated escalation messages and incorrect patient or clinic selection. • Build safeguards against hallucinated appointment availability, incorrect confirmations and unauthorized actions. • Support human-in-the-loop approval for high-risk operations. 4. Messaging and Communication Integration • Integrate with WhatsApp Business Platform / Cloud API. • Support inbound and outbound messaging, session management and conversation history. • Implement notifications, appointment confirmations and reminders where authorized. • Support future integration with voice agents, telephony and web chat. 5. Security, Reliability and Deployment • Implement role-based access control, authentication, audit logging and secure API communication. • Protect patient information through encryption, least-privilege access and appropriate data-retention controls. • Design for applicable healthcare privacy requirements and regional data residency. • Deploy using Docker, Linux, cloud or private infrastructure. • Develop automated tests, monitoring and operational documentation. Required Technical Skills • Languages: Python and/or Node.js / TypeScript • LLMs: OpenAI-compatible APIs, open-weight models, tool/function calling, structured outputs • Agent Frameworks: LangGraph, LangChain, Semantic Kernel or equivalent • Healthcare Integration: HIS, EMR/EHR, HL7, FHIR, healthcare APIs • Automation: Playwright, browser automation, RPA, API-based workflow execution • Backend: REST APIs, FastAPI, webhooks, asynchronous processing • Databases: PostgreSQL, Redis or similar • Messaging: WhatsApp Business Cloud API / Meta integration • Infrastructure: Docker, Linux, Git, CI/CD, cloud or self-hosted deployment • Security: OAuth 2.0, access control, audit trails, secure handling of patient data Experience with healthcare appointment scheduling systems, patient administration workflows and legacy HIS integration is particularly valuable. Preferred Qualifications • Previously integrated software with a live hospital or clinic management system. • Experience building AI agents that perform transactions rather than only answer questions. • Experience with legacy systems that have limited or no APIs. • Familiarity with healthcare interoperability and patient privacy requirements. • Experience optimizing open-source LLMs for latency, accuracy and deployment costs. • Ability to design reusable connectors for multiple HIS vendors.