AI Engineer

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go tomed.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, TwitterandInstagram.Position Summary:We have an exciting opportunity to join our team as an AI Engineer.In this role, the AI Engineer will design, implement, and operate production-grade Generative AI and Machine Learning solutions that support NYU Langone Healths Remote Patient Monitoring (RPM) initiatives. You will work at the intersection of healthcare and technology to deploy, monitor, and optimize large language models and supporting services for real-time clinical workflows, patient engagement, and operational use cases. Partnering with data scientists, clinicians, care teams, and IT, you will bring practical, reliable, and compliant AI capabilities into the RPM platform and related systems.Job Responsibilities: Minimum Qualifications: * Bachelor's degree in Computer Science, Data Science, Biomedical Informatics, Software Engineering, or a related field. * At least 0-1 years of experience in AI Solution development * Strong programming skills in Python, or other languages commonly used in AI development. * Substantial knowledge of AI, machine learning, and deep learning * Experience with AI platforms like PyTorch or TensorFlow * Experience with building large-scale and/or compute-intensive applications on clusters for data engineering, model training and evaluation (HPC, Spark, Kubernetes) * Understanding of software development principles and methodologies, including data structures, data modeling and software architecture. * Excellent problem-solving skills and ability to work in a team environment. * Excellent communication skills, both verbal and written.Preferred Qualifications: * Masters degree in computer science, data science, biomedical informatics, software engineering, or a related quantitative discipline. * 35 years of hands-on experience delivering production AI solutions, including LLM-based applications. * Experience with at least one major cloud platform (Azure, AWS) and cloud-native AI/ML toolchains; familiarity with CI/CD practices for AI applications. * Practical experience implementing retrieval-augmented generation (RAG), semantic search, and embedding models; knowledge of vector databases. * Experience with MLOps / LLMOps tooling (e.g., MLflow, Kubeflow, Airflow, Weights & Biases) for experiment tracking, model versioning, and monitoring/observability. * Experience building or maintaining AI-enabled healthcare applications, integrating with EHR systems, and operating within regulated environments (HIPAA); understanding of prompt engineering and fine-tuning methodologies; familiarity with LLM provider APIs (e.g., OpenAI, Anthropic, Azure OpenAI).Qualified candidates must be able to effectively communicate with all levels of the organization.NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust supp