Applied AI Engineer

Responsibilities

• Design, develop and deploy AI and ML applications using the organization’s technology stack, following software development best practices.
• Work with data scientists to build or fine-tune high-performing AI models, applying contemporary techniques from current literature.
• Build scalable, robust pipelines to support large data processing tasks.
• Implement internal security and data protection standards within AI applications and help maintain AI system risk and security standards.
• Prepare architecture and security documentation and support technical reviews and internal documentation for AI projects.
• Engage with team members and stakeholders to meet objectives; shadow or work with clients to gather feature requirements, identify AI opportunities, create tickets, participate in backlog refinement, execute tickets, and contribute to code reviews.
• Stay current with industry trends and cloud technologies; regularly share learnings with the team.
• Provide technical guidance and coaching to less experienced team members.
• Participate in all phases of the AI software development life cycle, including functional analysis, prototyping, development, evaluation, testing, deployment, refactoring, and ongoing support.

Requirements

• Bachelor’s degree in computer science, software engineering, or a related field.
• 1 to 3 years of hands-on experience in AI solution development.
• Strong programming skills in Python or other languages commonly used for AI development.
• Solid foundation in AI, machine learning, and deep learning concepts.
• Experience with AI platforms such as PyTorch or TensorFlow.
• Experience building large-scale or compute-intensive applications on clusters for data engineering, model training, and evaluation (HPC, Spark, Kubernetes).
• Understanding of software development principles, including data structures, data modeling, and software architecture.
• Excellent problem-solving abilities and a collaborative, team-oriented mindset.
• Strong verbal and written communication skills.

Technologies

• Python
• PyTorch
• TensorFlow
• Spark
• Kubernetes
• Azure
• AWS
• GCP

Benefits

• Comprehensive benefits and wellness package
• Financial security benefits
• Generous time-off program
• Employee resource groups for peer support
• Holistic employee wellness program
• Resources designed to enhance your quality of life for you and your family

About NYU Langone Health

• World-class, patient-centered, integrated academic health system with Magnet recognized status by the American Nurses Credentialing Center (ANCC).
• Trifold mission to care, teach, and discover achieved through an inclusive culture devoted to excellence across the organization.
• Opportunities to advance your career supported by talented faculty and staff in a collaborative environment dedicated to delivering excellent outcomes.

Our Hiring Process

• Step 1: Apply Online — Submit your resume through the online portal; you will receive an email confirmation, and a talent assessment will be sent about ten days after applying.
• Step 2: Schedule Interviews — If selected, HR will reach out by phone or email to arrange interviews with unit managers or team members; professional attire is encouraged.
• Step 3: Receive Offer — Finalists complete a professional reference process; after references are reviewed, a preliminary offer is issued and onboarding details with a tentative start date are arranged.
• Step 4: Training & Orientation — An onboarding specialist guides pre-boarding requirements; after compliance training, you will attend online orientation and report to your department on your first day.