Langgraph, Databricks, Epic Healthcare - AI Engineer

Mercy is a healthcare organization seeking an AI Engineer to join their team of advanced professionals. The role involves designing, developing, and operationalizing AI solutions to address complex challenges in various healthcare contexts, focusing on building scalable AI/ML systems and driving innovation.

Responsibilities:

• Designs, develops, and fine-tunes AI/ML models, including LLMs, deep learning, reinforcement learning, and agentic AI systems for diverse healthcare applications
• Builds and maintains scalable data pipelines and infrastructure for model training, evaluation, and continuous improvement
• Deploys and operationalizes AI/ML models in production, ensuring performance, reliability, and scalability
• Collaborates with software developers to integrate AI models into applications such as chatbots, recommendation systems, and analytics tools
• Applies advanced NLP techniques (e.g., transformer models like BERT and GPT) for document classification, summarization, and Q&A systems
• Monitors, tests, and retrains models to optimize performance and maintain accuracy
• Translates business needs into technical requirements through collaboration with cross-functional teams
• Communicates technical findings and solution impacts to leadership and stakeholders
• Applies modern software engineering practices including CI/CD, version control, and Agile methodologies
• Continuously evaluates and implements advancements in AI, LLMs, agentic AI, and software development

Requirements:

• Bachelor's degree in computer science, Artificial Intelligence, Software Engineering, Data Science, or a related field
• 2 years of experience in AI/ML development and software engineering, with demonstrated success in deploying production-grade AI solutions
• Designs, develops, and fine-tunes AI/ML models, including LLMs, deep learning, reinforcement learning, and agentic AI systems for diverse healthcare applications
• Builds and maintains scalable data pipelines and infrastructure for model training, evaluation, and continuous improvement
• Deploys and operationalizes AI/ML models in production, ensuring performance, reliability, and scalability
• Collaborates with software developers to integrate AI models into applications such as chatbots, recommendation systems, and analytics tools
• Applies advanced NLP techniques (e.g., transformer models like BERT and GPT) for document classification, summarization, and Q&A systems
• Monitors, tests, and retrains models to optimize performance and maintain accuracy
• Translates business needs into technical requirements through collaboration with cross-functional teams
• Communicates technical findings and solution impacts to leadership and stakeholders
• Applies modern software engineering practices including CI/CD, version control, and Agile methodologies
• Continuously evaluates and implements advancements in AI, LLMs, agentic AI, and software development