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.