> Markdown version of [/jobs/ext/4283684-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4283684-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Engineer

- **Company:** Nyu Grossman School Of Medicine
- **Location:** New York, NY, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Health Informatics, Computer Programming, Continuous Integration, Information Engineering, Data Structures, Python (Programming Language), Machine Learning, Software Architecture, OpenAI, Tensorflow, Search Technologies, Software Engineering, Systems Integration, Cloud Platform System, High Performance Computing, EHR Systems, Pytorch, Large Language Models, Prompt Engineering, Apache Spark, Deep Learning, Generative AI, AI Platforms, Kubernetes, Information Technology, Machine Learning Operations, Software Version Control
- **Published:** October 31, 2026
- **Apply:** https://www.juju.com/job/1_6E63775389FD490282DF481066FAAF69-NY1704654

## About the Role

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.

## Description

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.