About the Role We are building a new class of clinical-grade AI agents powered by a foundational model that unifies 3D volumetric medical data and textual reasoning . These agents will assist with radiology workflows, treatment planning, case summarization, longitudinal patient analysis, and human-in-the-loop clinical decision support. In this role, you will design the agent layer that transforms a powerful multimodal foundation model into a safe, reliable, adaptive medical assistant capable of analyzing 3D scans, retrieving past cases, explaining findings, and coordinating multi-step reasoning chains. This position is ideal for researchers from multimodal/VLM/CLIP ecosystems who want to move up the stack into autonomous medical reasoning , multimodal alignment, and real-world clinical impact. What You Will Work On Architect LLM-driven medical agents capable of: Reading & interpreting 3D medical volumes (MRI, CT, PET). Answering radiology questions, generating report drafts, and performing differential reasoning. Retrieving similar prior cases using contrastive embeddings. Synthesizing multi-instance evidence across scans, labs, and notes. Executing multi-step “clinical workflows”—image → analysis → summary → recommendation. Integrate clinical agents with the 3D foundation model’s representations, enabling structured medical reasoningand contextual memory across longitudinal data. Develop evaluation frameworks for trustworthiness, interpretability, calibration, and clinical safety. Collaborate with clinicians and scientists to co-design tasks, datasets, and validation protocols. Benchmark models against open and proprietary datasets: MIMIC, CheXpert, MosMed, LiTS, BraTS, and India-specific clinical corpora. Publish findings at top-tier venues (MICCAI, NeurIPS, AAAI, EMNLP). Work with regulatory and product teams to translate research into medically viable systems. Why This Role Appeals to CLIP / VLM / Chitrarth / Patram Authors A rare opportunity to work at the
Research Engineer, SAIGroup (AI Innovation and Architecture Group)
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Role overview
Job description
About SAI Group SAI Group is a private investment firm dedicated to incubating and scaling AI-powered enterprise software companies. Our portfolio spans across rapidly growing businesses that serve over 2,000 global customers, generating nearly $600 million in annual revenue and employing over 4,000 individuals worldwide. As we continue to scale, we are focused on building world-class teams to drive our portfolio companies' success. Role Overview: As a Research Engineer, you will be instrumental in exploring and establishing best practices for leveraging and extending novel Generative AI based technologies to develop groundbreaking solutions for enterprise use cases. This role offers a unique opportunity to delve into the rapidly evolving world of foundation models, AI agents, reasoning models etc. and contribute to the design and development of an innovative enterprise AI platform to
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Skills & requirements
Qualification
Ph.D/MS in AI/CS or related fields with a strong focus on AI/ML technologies
Department · SAI Group
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SAIGroup
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