Data & AI Software Engineering Intern — Hybrid NYC

CVS Health; New York (NY); Hybrid; USD 48,000 - 68,000; Full time

Job summary

CVS Health's Innovation & Technology internship in New York offers a 10.5-week full-time program blending in-office collaboration with remote work days. As a Software Engineering: Data & Intelligence intern, you will build APIs, microservices, and cloud-based data solutions while applying AI/ML concepts to real-world health care challenges.

You'll learn from mentors, participate in development workshops, and contribute to projects that impact patient outcomes and digital experiences.

Qualifications

• Experience using Python to build software applications.
• Hands-on development of REST APIs, microservices, or backend services.
• Experience using SQL or relational databases to query and manage data.
• Experience building solutions that use LLM or Generative AI technologies.
• Exposure to cloud platforms such as GCP, AWS, or Azure.

Responsibilities

• Design, build, and test applications, APIs, and microservices.
• Develop data integrations and services that connect applications with enterprise data.
• Contribute to AI and Generative AI solutions, including LLM-powered applications, RAG, and automation.
• Deploy and troubleshoot cloud-native solutions using CI/CD and engineering practices.

Skills

Python

REST APIs

SQL

LLM/Generative AI

Cloud platforms

Git

Docker

CI/CD

Java

JavaScript

Education

Bachelor's degree in Computer Science, Software Engineering, AI or related field

Tools

Git

Docker

CI/CD

Spring Boot

Node.js

React/Angular

Job description

CVS Health's Innovation & Technology internship in New York offers a 10.5-week full-time program blending in-office collaboration with remote work days. As a Software Engineering: Data & Intelligence intern, you will build APIs, microservices, and cloud-based data solutions while applying AI/ML concepts to real-world health care challenges.

You'll learn from mentors, participate in development workshops, and contribute to projects that impact patient outcomes and digital experiences.