
Senior Full Stack Developer + AI/ML Engineer
4 days ago
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 + )
- 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 + 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 or connect directly with the founders on LinkedIn.
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