Senior Agentic AI Engineer — Agentic Medical AI

SAIGroup; Bengaluru; Presencial; INR 1.200.000 - 1.800.000; Tempo integral

Benefícios oferecidos por esta vaga

Competitive compensation

Access to high-compute clusters

Cross-functional collaboration

Resumo da vaga

A leading medical AI company in Bengaluru is seeking a talented individual to design LLM-driven medical agents that enhance clinical decision-making processes. This role requires expertise in multimodal learning, LLM-based systems, and a strong publication record in medical AI. You will collaborate with clinicians to create innovative solutions aimed at improving healthcare outcomes. The position offers competitive compensation and opportunities for impactful research in the medical domain.

Qualificações

• Experience developing LLM-based agents, tool-using models, or orchestrated pipelines.
• Strong background in multimodal learning and contrastive models.
• Expertise in PyTorch/JAX for large scale training.

Responsabilidades

• Architect LLM-driven medical agents for answering radiology questions.
• Collaborate with clinicians to co-design tasks and datasets.
• Benchmark models against open and proprietary datasets.

Conhecimentos

LLM-based agents

Multimodal learning

Clinical NLP

DICOM pipelines

Interpretable reasoning systems

Formação

Ph.D. in a relevant field

Ferramentas

PyTorch

JAX

Descrição da vaga

Overview

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:
• 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.
• Integrate clinical agents with the 3D foundation model’s representations, enabling structured medical reasoning and 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.
• Cross-functional collaboration with clinicians, regulatory experts, and product teams.
• A clear path to building systems that meaningfully improve healthcare outcomes.