Full Stack AI Engineer, Clinical Engineering & Operations

Role: Full Stack AI Engineer supporting GDO in an AI-first, agile environment, focusing on designing, building, and maintaining AI-native products utilizing large language models, agentic workflows, and data-driven intelligence. Responsibilities: develop scalable, secure applications using Python, React, JavaScript, and cloud services (AWS); implement and monitor generative and agentic AI solutions; collaborate with stakeholders to identify opportunities for AI-driven workflow enhancements; incorporate governance, continuous learning, and human-in-the-loop patterns; support system stability, incident resolution, and model performance monitoring. Requirements: 5+ years of software engineering experience, proficiency in Python and React, experience with Generative AI (LangChain, LlamaIndex), and AWS cloud services; strong data analytics skills with SQL/NoSQL; background in regulated environments and SDLC processes. Preferred: pharma or life sciences experience. High-value specifics: supporting AI applications in clinical operations, leveraging large language models, within regulated pharma environment, with focus on automation, decision support, and workflow optimization. Work setup: hybrid, based in Princeton, NJ, with on-site requirements depending on occupancy structure.