AI Engineer Healthcare

Key Responsibilities

• Design and develop AI solutions using Traditional and Generative AI models, with deep theoretical understanding of model architectures.
• Architect and implement Agentic AI systems for multi-step medical reasoning, planning, and clinical decision support.
• Apply Reinforcement Learning techniques (RLHF, MARL) to optimize clinical workflows and AI-assisted diagnostics.
• Lead healthcare data strategy: processing HIPAA-compliant EHRs, prescriptions, and medical imaging for model training and fine-tuning.
• Own research end-to-end from hypothesis definition to architecture design and experimental execution.
• Author and publish findings at top-tier venues (NeurIPS, ICML, AMIA, ICHI, etc.).
• Contribute to clinical foundation models meeting safety and accuracy standards for deployment.

Minimum Qualifications

• PhD in Computer Science, AI, Biomedical Informatics, or related field (exceptional MS candidates considered).
• Expert-level Python and deep learning proficiency (PyTorch strongly preferred).
• Demonstrated experience building Agentic AI systems and working with Large Language Models.
• Foundational to intermediate knowledge of Reinforcement Learning (RLHF, PPO, MARL).
• Minimum 3 years of hands-on experience with healthcare data (EHR, clinical notes, medical imaging, prescriptions).
• Experience with HIPAA-compliant data handling and healthcare standards (HL7 FHIR, ICD-10, SNOMED CT, DICOM).
• Portfolio of publications or showcasable projects demonstrating applied AI work on real clinical datasets.
• Strong communication skills across medical, academic, and executive stakeholder audiences.

Preferred Qualifications

• Experience fine-tuning Medical LLMs (Med-PaLM, BioGPT, ClinicalBERT, BioMistral, or equivalents).
• Advanced RL research applied to healthcare or safety-critical domains.
• Multimodal experience: radiology/pathology imaging, clinical speech/ASR, or medical device signals.
• First-author publications in high-impact venues (NeurIPS, ICML, ICLR, AMIA, Nature Digital Medicine).