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Tech Stack
Tools & technologiesAWSCloudPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows.
- Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text.
- Explore and implement new capabilities in reasoning, decision-making, and multi-modal understanding.
- Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations.
- Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data).
- Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement.
- Serve as the primary technical authority on Agentic and Generative AI within project teams.
- Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops.
- Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices.
- Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness.
- Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST).
Requirements
What you’ll need- PhD or Master’s in Computer Science, AI, Machine Learning, or related field.
- 5+ years of experience in AI/ML, with a strong portfolio of deployed models.
- Proficiency in Python, R, and modern ML libraries.
- Experience with GenAI, LLMs, and transformer architectures.
- Skilled with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems).
- Hands-on experience with autonomous AI agents and reasoning systems.
- Strong track record applying AI to healthcare or life sciences use cases.
- Familiarity with cloud platforms (AWS) and MLOps practices.
Benefits
Comp & perks- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events
ATS Keywords
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Hard Skills & Tools
AI Model DesignNatural Language Understanding (NLU)Large Language Models (LLMs)Machine Learning LibrariesAI Development ToolsAutonomous AI AgentsModel Evaluation FrameworksHealthcare Data ProcessingReasoning SystemsData Security Regulations
Soft Skills
MentoringKnowledge SharingTechnical Authority