Full-stack Engineer with Healthcare Data Experience

Gramian Consulting
Lead
Remoto 🌐
Publicado em 30 de novembro de 2025

Descrição da Vaga

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 **Requirements** * 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. **Nice\-to\-Have** * 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.

Vaga originalmente publicada em: linkedin

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