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# AI Engineer 4A

- **Company:** Genpact
- **Location:** New York, NY, United States
- **Salary:** $50,000.0 - $62,500.0
- **Contract:** Internship / Graduate position
- **Skills:** Testing (Software), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, Code Review, Databases, Software Debugging, Python (Programming Language), Linux System Administration, NumPy, Software Engineering, SQLite, Enterprise Software Applications, Chatbots, Large Language Models, Prompt Engineering, Generative AI, Pandas, Machine Learning Operations, Restful APIs
- **Published:** July 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0db56443bd0a7a9a

## About the Role

AI/ML Ops, NVIDIA AI, Pandas Python Library, Python Automation, Python Numpy, Python Sqlite3

Language
English

Language Proficiency -
Proficient - C2

## Description

We are seeking a motivated AI Engineer to support the development of modern applications and Generative AI solutions. This entry-level role is ideal for recent graduates who have completed internships, academic projects, or hands-on experience in software development, AI-powered applications, or automation solutions. The candidate will work closely with experienced engineers to build, test, and maintain applications while gaining exposure to emerging AI technologies., * Develop, test, and maintain web, desktop, or enterprise applications.

 * Assist in building and integrating AI-powered features using Generative AI technologies.
 * Develop and consume REST APIs to support application functionality.
 * Write clean, maintainable, and well-documented code.
 * Perform debugging, troubleshooting, and software testing activities.
 * Collaborate with team members in an agile development environment.
 * Support automation and productivity initiatives through scripting and workflow improvements.
 * Participate in code reviews and contribute to continuous improvement efforts.
 * Internship or project experience in:
 + Generative AI applications
 + AI chatbots or virtual assistants
 + Application development (web, desktop, or mobile)
 + API integration and automation
 * Exposure to Large Language Models (LLMs) and prompt engineering concepts.
 * Familiarity with cloud platforms such as AWS or Azure.
 * Basic knowledge of databases and Linux environments.


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