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Senior AI Healthcare SaaS Development

Бюджет: $10000.0 FIXED / ⭐ 0.00 (0) United States

saas, python, node.js, amazon-web-services, product-management, aws-application

Предпочтительная квалификация

  • Опыт: Средний
Project Type Complex, milestone-based software-development project with potential for a long-term engagement. Initial project duration: approximately 12–16 weeks. Project Overview Medlivo is developing a proprietary AI-first healthcare workforce platform for direct healthcare facilities, healthcare systems and home health agencies. The platform will use verified healthcare workforce data, intelligent clinician sourcing, explainable matching, controlled AI-assisted engagement and healthcare-specific operational workflows. This is not a basic website, traditional ATS or chatbot project. We are seeking an experienced technical lead with a committed development team, or an established software-development company, capable of designing and building a secure, scalable healthcare SaaS platform. Detailed requirements, process-flow diagrams and product specifications will be provided only to shortlisted applicants after signing a confidentiality and non-disclosure agreement. Initial Responsibilities Review the confidential product requirements Finalize the technical architecture and delivery plan Design a secure multi-organization SaaS foundation Develop the healthcare customer and clinician experiences Build the healthcare workforce data foundation Develop AI-assisted clinician sourcing and explainable matching Integrate external healthcare and communication systems Establish security, auditability, testing and cloud deployment Deliver the agreed initial platform within the approved timeline Must-Have Skills Proven delivery of complex SaaS platforms Technical architecture and hands-on engineering leadership React, Next.js or comparable front-end expertise Python, Node.js, Java or comparable backend expertise PostgreSQL and advanced data modeling Secure multi-tenant or multi-organization architecture Role-based access control and data isolation Production AI/ML and LLM application development Search, matching, ranking or recommendation systems Entity resolution and duplicate-record detection Data normalization and data-confidence modeling API, webhook and third-party integration development AWS, Azure or Google Cloud Automated testing, CI/CD, monitoring and deployment Security, privacy, encryption and audit logging Strong English communication and documentation Ability to meet an aggressive milestone-based delivery schedule Required Industry Experience Applicants must have experience building healthcare, workforce-management or another highly regulated SaaS platform. Nice-to-Have Skills Healthcare staffing technology ATS or VMS integrations Clinician or provider directories Professional-license verification Healthcare credentialing systems Home health technology HIPAA-aligned architecture Healthcare job-board integrations Email and SMS automation Geographic and distance-based matching Knowledge graphs or graph databases Responsible employment-AI controls Engagement Process Initial Upwork application Relevant experience and technical-team review Short technical interview NDA execution Confidential requirements and process-flow review Paid discovery and architecture milestone Final delivery plan, timeline and development milestones Platform development Proposal Requirements Please provide: Two or three relevant platform examples Your specific role in each project Proposed team structure Recommended technology stack Team availability Estimated timeline Milestone-based pricing approach Confirmation that you are willing to sign an NDA Confirmation that all project intellectual property and source code will belong to Medlivo Generic proposals and chatbot-only experience will not be considered. Screening Questions What is the most similar healthcare or regulated SaaS platform your team has delivered? Who would be assigned to this project, and what would each person’s role be? What experience do you have with AI-driven search, matching, ranking or entity resolution? How do you protect customer data in a multi-organization SaaS platform? Can your team begin promptly and commit sufficient capacity for a 12–16-week initial development phase? Are you willing to sign an NDA before receiving the detailed requirements?
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