Full Stack Python developer

2 weeks ago

Trichy, India Abhinaya Limited Full time

About AbhiDoc AbhiDoc is an AI-powered digital healthcare platform that connects patients, doctors, and hospitals through intelligent automation. Our mission is to make healthcare more accessible, efficient, and data-driven — blending human expertise with cutting-edge AI technology. 🔧 Role Overview We are seeking a Full Stack Python Developer to design, develop, and maintain scalable, high-performance web applications that power the AbhiDoc ecosystem. The ideal candidate should be equally comfortable working on backend services (Flask/Django/FastAPI) and crafting interactive front-end interfaces (React/Vue/Tailwind). 🚀 Key Responsibilities - Develop and maintain RESTful or GraphQL APIs using Python (Flask / Django / FastAPI). - Design, build, and optimize database schemas (PostgreSQL, MySQL, or MongoDB). - Implement interactive and mobile-optimized front-end interfaces using HTML5, Tailwind CSS, and React / Vue.js. - Integrate AI and data processing modules (OCR, NLP, medical data extraction). - Work closely with UI/UX designers to translate prototypes into functional applications. - Manage deployments and scaling using Docker, Nginx, and cloud infrastructure (AWS / Hostinger / GCP). - Write clean, well-documented, and tested code (using pytest or unittest). - Collaborate with cross-functional teams — AI engineers, doctors, and analysts — to deliver healthcare solutions. - Ensure application security, performance, and data compliance (HIPAA/GDPR readiness). 🧠 Required Skills - Strong proficiency in Python 3.x and OOP concepts. - Proven experience with Flask, Django, or FastAPI frameworks. - Solid understanding of HTML5, CSS3, Tailwind CSS, and JavaScript (ES6+). - Experience with modern front-end frameworks (React, Vue, or Next.js). - Hands-on experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB). - Familiarity with Git, Docker, REST APIs, and CI/CD pipelines. - Knowledge of asynchronous programming and WebSockets is a plus. - Comfortable with Linux-based deployment and server management. 🌟 Preferred Qualifications - Experience integrating AI/NLP/ML models into production APIs. - Familiarity with medical data structures (HL7, FHIR, DICOM). - Prior experience in healthcare, health tech, or AI-based applications. - Exposure to cloud platforms (AWS, GCP, Azure). - Working knowledge of unit testing, logging, and performance profiling. 💼 Education - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. - Equivalent practical experience will also be considered. 💰 What We Offer - Opportunity to build next-generation AI healthcare systems. - Collaborative and research-driven environment. - Flexible working hours and remote-friendly setup. - Competitive salary and performance-based incentives. - Access to real-world medical data and cutting-edge AI technologies.

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