AI Engineer – LLMs for Healthcare

Job Description: Fine-tune and optimize large language models (LLMs) to address specific healthcare applications. Develop and apply advanced prompt engineering techniques to enhance model outputs for clinical scenarios. Implement Retrieval-Augmented Generation (RAG) systems to improve knowledge retrieval from large datasets. Collaborate with healthcare professionals to understand workflows and identify opportunities for AI-driven enhancements. Design and build AI models that align with healthcare standards and regulations (e.g., HIPAA compliance).Requirements: Proven experience in LLM fine-tuning and advanced prompt engineering. Strong background in Python and modern ML frameworks (e.g., Huggingface, pyTorch). Familiarity with healthcare workflows and regulatory requirements (e.g., HIPAA, FHIR standards). Hands-on experience with retrieval-augmented generation (RAG) techniques. Expertise in evaluating AI models using performance metrics like precision, and recall.Benefits: Competitive salary and benefits package. Opportunity to work in a fast-paced, innovative environment. Professional growth and development opportunities. Collaborative and supportive team culture. Chance to make a meaningful impact on the healthcare industry.