AlphaGrid

About the job: We are looking for a talented Full Stack Developer to join our team at AlphaGrid! As a developer with expertise in React, Node.js, Python, MongoDB, REST API, and Next.js, you will play a key role in designing and implementing innovative solutions for our clients. Key Responsibilities: 1. Collaborate with the design and product teams to create user-friendly interfaces and seamless user experiences. 2. Develop and maintain backend services using Node.js and Python to support frontend applications. 3. Design and implement data storage solutions using MongoDB and ensure proper data management practices. 4. Create and maintain RESTful APIs to enable smooth communication between different components of the application. 5. Work on server-side rendering using Next.js to optimize performance and enhance SEO capabilities. 6. Troubleshoot and debug issues to ensure smooth functionality of the applications. 7. Stay updated on industry trends and best practices to continuously improve our technology stack. If you are passionate about technology and eager to work on cutting-edge projects, we would love to hear from you! Join us at AlphaGrid and be a part of our dynamic team. Who can apply: Only those candidates can apply who: have minimum 1 years of experience are Computer Science Engineering students Salary: ₹ 4,40,000 - 5,50,000 /year Experience: 1 year(s) Deadline: 2025-09-27 23:59:59 Other perks: 5 days a week Skills required: Python, MongoDB, Node.js, React, REST API and Next.js Other Requirements: 1. Backend development for data processing and integration (Node.js / Python / FastAPI). 2. Integration with PACS (DICOM format imaging data) and other hospital/lab APIs. 3. Handling multimodal data pipelines - image-to-text and text-to-text summarisation outputs. 4. Database design and management (PostgreSQL / MongoDB). 5. Deploying and maintaining applications on AWS About Company: AlphaGrid is building digital twins for cancer care - transforming how oncologists diagnose, monitor, and treat patients. We unify multimodal diagnostic data - imaging, pathology, genomics, and blood markers - into AI-powered reports and patient-specific digital twins that simulate disease progression and treatment response.