Senior Full Stack Developer + AI/ML Engineer
Role Description: We are looking for a highly skilled Senior Developer with strong AI/ML expertise to lead the next phase of intelligent automation in RadEze PACS, our cloud-native radiology workflow platform. You’ll work closely with the founding team to enhance DICOM image handling, integrate diagnostic AI features, and ship high-impact features requested by global radiology clients. Location: Noida (Preferred) Experience: 5–10 years Company: Ezewok Healthtech Pvt Ltd Compensation: Competitive with equity potential Requirements: B.Tech/M.Tech from IIT/NIT/BITS or top-tier institutes (preferred) 5–10 years of full stack development experience (Node.js + React.js) Strong hands-on experience with AI/ML: PyTorch, TensorFlow, scikit-learn Image classification, segmentation, NLP OpenAI CLIP, Whisper, or HuggingFace models Experience in medical imaging (DICOM, PACS, Cornerstone, MONAI, SimpleITK) is a major plus Solid understanding of cloud infrastructure (AWS EC2, S3, GPU, Docker, Lambda) Comfort with real-world product building, debugging, and scaling Responsibilities: Full Stack Development Own and scale our Node.js + React-based PACS infrastructure Implement new features from diagnostic centers and radiologists Optimize performance of DICOM viewer report workflows, and metadata processing Enhance real-time dashboards, billing engines, and multi-user reporting modules AI/ML & Diagnostic Intelligence Develop and deploy AI models for radiology use cases: X-ray/CT/MRI classification. Anomaly detection, segmentation, or report summarization Integrate dictation and NLP tools for auto-reporting Build scalable pipelines for image-based inference on AWS/GPU-backed infrastructure Contribute to building our AI assistant for radiologists and coordinators Product & Client Collaboration Translate client feature requests into scalable product modules Guide implementation of quality and TAT tracking metrics Mentor junior developers; work with product and infra leads Shape our AI roadmap based on user feedback and imaging standards Bonus Skills: Worked on teleradiology, healthcare AI, or FDA/CE-regulated medical software Experience with multi-user workflows, audit trails, and data privacy (HIPAA/GDPR) Experience contributing to open-source radiology tools. Why Join Us? Be a foundational member of India’s most flexible, AI-enhanced PACS platform Lead the AI vision for radiology, working with real-world data at scale Shape a fast-growing product used by radiologists and hospitals across India and abroad Remote-first, product-led, and deeply impact-driven culture To Apply Send your resume, portfolio, and a brief on your most exciting AI/radiology project to hr@ezewok.com or connect directly with the founders on LinkedIn.