Senior AI Healthcare SaaS Development
Budget: $10000.0
FIXED /
⭐ 0.00 (0)
United States
saas, python, node.js, amazon-web-services, product-management, aws-application
Qualifications préférées
- Expérience : Intermédiaire
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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