AI Engineer building generative and agentic AI solutions for Trillium Health Partners’ hospital workflows. Connecting intelligent agents to clinical systems and scaling responsible healthcare automation.
About the role
- Develop Generative AI solutions using Java, Python, and cloud technologies. Apply ML, deep learning, NLP, and RAG concepts to business use cases.
Responsibilities
- The role involves assisting in the development of Generative AI solutions using Java, Python, and cloud technologies. The candidate will apply machine learning, deep learning, NLP, and Retrieval‑Augmented Generation (RAG) concepts to real business use cases while building reusable, efficient code. Responsibilities include supporting AI‑assisted development, integrating Generative AI tools, leveraging cloud platforms for deployment, and solving complex problems through strong analytical thinking and practical implementation.
Requirements
- Top 3 Required Skills: Strong foundation in Machine Learning, Deep Learning, NLP, and RAG, with the ability to apply AI/ML concepts to business use cases. Proficiency in Python, including writing reusable, efficient, and testable code, with exposure to Generative AI tools. Experience with cloud technologies (AWS, Azure, or GCP) and deploying or integrating models in cloud environments. Top 3 Preferred Skills: Hands‑on experience with Generative AI tools such as Microsoft Copilot and AI‑assisted development workflows including RAG. Familiarity with Java to support hybrid AI development environments. Strong analytical and problem‑solving skills, with the ability to break down complex problems into practical AI solutions.
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