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Senior Agentic AI Engineer — Agentic Medical AI

BangaloreOnsiteFull TimeSeniorPosted 1 month ago

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Required skills

  • Agentic AI Engineer
  • Agentic Medical AI
  • clinical-grade AI agents
  • foundational model
  • multimodal foundation model
  • 3D volumetric medical data
  • textual reasoning
  • radiology workflows
  • treatment planning
  • case summarization

Nice to have

  • LangChain
  • LLaMA Index
  • Haystack
  • custom pipelines
  • clinical ontologies
  • SNOMED

Role summary

We are seeking a Senior Agentic AI Engineer to build clinical-grade AI agents powered by a multimodal foundation model for medical applications. This role involves designing the agent layer to transform a foundation model into a safe, reliable medical assistant capable of analyzing 3D scans, retrieving past cases, and coordinating complex reasoning. You will architect LLM-driven agents, integrate them with 3D representations, and develop evaluation frameworks for trustworthiness and safety. The position is ideal for researchers experienced in multimodal learning, vision-language transformers, and large-scale training, with familiarity in medical imaging and clinical NLP. Expertise in PyTorch/JAX and a strong publication record are required. Experience with agent frameworks and clinical ontologies is preferred.

About the RoleWe 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 intersection of agentic LLMs, multimodal 3D vision, and clinical intelligence.
  • Ability to bring contrastive learning, cross-lingual modeling, multimodal alignment, and document understanding into the medical domain.
  • Greenfield space: medical agent design is still unexplored compared to 2D VLMs.
  • Freedom to publish, open source, and propose new clinical reasoning benchmarks.
  • Attractive to researchers who want impact beyond academic settings—directly improving physician workflows and patient outcomes.
  • A chance to create India’s first medical foundation-model agent system, setting global standards.
    • What We’re Looking For
  • Experience developing LLM-based agents, tool-using models, chain-of-thought systems, or orchestrated pipelines.
  • Strong background in multimodal learning, vision–language transformers, contrastive models, or clinical NLP.
  • Familiarity with medical imaging, radiology workflows, DICOM pipelines, or 3D data representations.
  • Expertise in PyTorch/JAX and large-scale training and inference.
  • Ability to design safe, interpretable, and auditable reasoning systems.
  • Strong publication record in multimodal, medical AI, agentic systems, or LLMs.
  • Comfort collaborating with clinicians and biomedical researchers.
    • Nice to Have
  • Experience with agent frameworks (LangChain, LLaMA Index, Haystack, custom pipelines).
  • Background in clinical ontologies, SNOMED, RadLex, or UMLS.
  • Contributions to medical AI challenges (BraTS, RSNA, MedVQA, MedIC).
  • Prior work in multilingual or code-mixed medical text.
  • Proven ability to take research concepts into production-grade systems.
    • What We Offer
  • Competitive compensation.
  • Access to high-compute clusters + large proprietary datasets.
  • Full freedom to publish and define development direction.
  • Cross-functional collaboration with clinicians, regulatory experts, and product teams.
  • A clear path to building systems that meaningfully improve healthcare outcomes.
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