Key skills
JavaScriptNode.jsPythonAIMLNLPLangChainLlamaIndex
About this role
Role Overview
- Design and deploy AI applications that support decision-making, patient engagement, and operational efficiency
- Build scalable systems that incorporate LLMs, voice/image recognition, and document parsing into existing healthcare IT infrastructure
- Ensure secure, HIPAA-compliant data pipelines for training and deploying AI models using structured and unstructured healthcare data
- Apply rigorous evaluation metrics and ensure models meet regulatory and ethical standards
- Guide junior engineers and contribute to the strategic direction of AI initiatives within the organization
Requirements
- 10+ years of software engineering experience
- 4+ years in AI/ML development
- B.S. degree in Computer Science or related engineering discipline, or equivalent experience
- 2+ years of experience building AI solutions in healthcare or life sciences
- Deep understanding of healthcare data standards (e.g., HL7, FHIR) and compliance frameworks (e.g., HIPAA, GDPR)
- Proven ability to build AI models for clinical NLP, medical imaging, patient risk stratification, and care personalization
- Skilled in building retrieval-augmented generation systems using tools like Pydantic, Semantic Kernel, LangChain, LlamaIndex, and vector databases
- Proficiency in Python, Node.js, and modern web frameworks
Tech Stack
- JavaScript
- Node.js
- Python
Benefits
- Competitive compensation package
- Health insurance
- Flexible work arrangements
- Professional development opportunities
- Annual bonus or long-term incentive opportunities