Senior Full Stack Software Engineer - Medical Inventory Management Platform
Remote
AI Summary
Lead the development of a next-generation medical inventory management platform. Clone and enhance an existing inventory system with AI-driven capabilities. Design and implement a full-stack medical inventory management system.
Key Highlights
Architect, build, and enhance a high-performance medical inventory management system
Design and implement a full-stack medical inventory management system with AI intelligence
Implement complete CRUD operations for products, suppliers, orders, audits, and stock movements
Technical Skills Required
Benefits & Perks
100% remote work
Contractor assignment (no medical/paid leave)
4+ months contract duration with possibility of transitioning into a full-time role
Job Description
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
Role Overview
We are seeking a Full Stack Software Engineer to lead the development of a next-generation medical inventory management platform. This role involves cloning and enhancing an existing inventory system while introducing AI-driven capabilities such as predictive analytics, automated reordering, and intelligent insights. You will own the full stack of the platform—from UX to backend architecture to AI integration—within a healthcare-regulated environment.
Commitments Required: 8 hours per day with an overlap of 4 hours with PST.
Employment type: Contractor assignment (no medical/paid leave); 100% REMOTE
Duration of contract: 4+ months with the possibility of transitioning into a full-time role upon successful delivery.
Locations: LATAM, EMEA, Asia
Interview: Technical Assessment, Technical Interview, Cultural Interview
Responsibilities
You will architect, build, and enhance a high-performance medical inventory management system designed to support the complete lifecycle of medical supplies, equipment, and pharmaceuticals. This is a feature-rich CRUD application with embedded AI intelligence.
- Design and implement a full-stack medical inventory management system, cloning and enhancing an existing platform while ensuring feature parity and improved UX.
- Build responsive, intuitive UIs for tracking medical supplies, equipment, pharmaceuticals, and managing orders, stock levels, and reporting.
- Develop secure RESTful APIs and handle third-party integrations, ensuring reliable data exchange and workflow automation.
- Implement complete CRUD operations for products, suppliers, orders, audits, and stock movements with strong data validation and integrity.
- Architect and optimize SQL/NoSQL database schemas for efficient, scalable storage and fast retrieval.
- Integrate AI-driven features including predictive analytics, demand forecasting, automated reordering, and intelligent alerts for low stock and expiry tracking.
- Build NLP-powered search and smart filtering capabilities, plus AI-enhanced dashboards for insights and operational decision-making.
- Ensure HIPAA-compliant security, including access control, encryption, audit logging, and secure data handling.
- Implement comprehensive testing strategies across unit, integration, and end-to-end layers to ensure system reliability.
- Optimize application performance, scalability, and robustness, maintaining clean, maintainable, well-documented code
- 5+ years of hands-on full-stack development experience.
- Strong proficiency in modern JavaScript/TypeScript and a leading frontend framework (React, Vue, or Angular).
- Solid backend experience with Node.js, Python/Django, or similar frameworks.
- Strong SQL fundamentals (PostgreSQL or MySQL) plus familiarity with NoSQL (MongoDB).
- Extensive experience designing and consuming REST APIs.
- Proficient with Git workflows and CI/CD collaboration.
- Practical experience with testing tools (Jest, Pytest, Cypress, etc.).
- Strong background building feature-rich CRUD platforms from scratch.
- AI/ML Knowledge (Preferred) - ML Frameworks, integration with AI APIs, understanding forecasting, predictive modeling, and applied machine learning.
- Experience with healthcare compliance and regulatory frameworks (HIPAA, FDA).
- Knowledge of medical/clinical inventory workflows and terminology.
- Exposure to real-time data sync, notifications, or event-driven architectures.
- Familiarity with barcode/RFID scanning or hardware device integration.
- Experience with Agile/Scrum development environments.