Intern – GenAI (Medical Imaging & Reporting Solutions)

Duration

3–6 Months (Extension / PPO based on performance)

About the Role

We are looking for GenAI Interns passionate about applying Large Language Models (LLMs) and AI agents to real-world medical imaging workflows such as radiology reporting, clinical summarization, decision support, and enterprise viewers.

You will work closely with product, engineering, and clinical SMEs to build production-grade AI features for RIS, PACS, VNA, and reporting platforms.

Key Responsibilities

🔹 GenAI & LLM Development

• Build and fine-tune LLM-based pipelines for:

  • Radiology report generation & structuring

  • Clinical summarization from imaging + text inputs

  • Follow-up recommendations and impression drafting

• Implement prompt engineering, RAG (Retrieval Augmented Generation), and agentic workflows

• Integrate LLMs with structured + unstructured medical data

🔹 Medical Imaging & Reporting

• Work with DICOM metadata, radiology reports, and non-DICOM clinical documents

• Assist in developing AI-assisted structured reporting templates (SR / FHIR-aligned)

• Build GenAI features that work alongside 2D/3D viewers and enterprise imaging platforms

🔹 Engineering & Integration

• Develop APIs using Python / FastAPI

• Integrate GenAI services with backend systems (RIS / PACS / VNA / Enterprise Viewer)

• Work with vector databases (FAISS / Pinecone / Chroma) for semantic search

• Participate in model evaluation, hallucination control, and clinical safety checks

🔹 Research & Innovation

• Evaluate latest research in medical GenAI, multimodal AI, and healthcare LLMs

• Prototype new AI workflows for:

  • Blind reads

  • AI second opinions

  • Quality & consistency checks in reports