Senior Full Stack Developer + AI/ML Engineers
2 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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