GAI Expert/Software Engineer

INFOSYS NOVA HOLDINGS LLC•Charlotte, NC

7h•Onsite

About The Position

As a GAI Expert/Software Engineer, you will be responsible for building an application that generates code, pipelines, and creates web applications automatically via prompts. You will also play a key role in enhancing our Power Generation Operation using generative AI frameworks. This role requires a deep understanding of AI, machine learning, and software engineering principles, as well as a strong foundation in writing maintainable, testable, and modular code.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or related discipline; or 8 years of equivalent work experience in lieu of a degree.
2–3 years of hands-on experience with generative AI implementations.
4–5 years of experience in software engineering.
Strong understanding of Python and ability to quickly learn new frameworks.

Nice To Haves

Proven experience in software engineering with a focus on AI and machine learning.
Experience with agentic technologies and their applications.
Familiarity with generative AI frameworks and LLMs.
Knowledge of natural language processing (NLP) and computer vision.
Experience with DevOps practices and tools for CI/CD.
Strong programming skills in Python, React, Angular.
Experience with AWS cloud platform and services.
Familiarity with modularized, testable code and unit testing frameworks.
Appetite for continuous learning and staying current with emerging AI technologies.
Excellent problem-solving, communication, and collaboration skills.

Responsibilities

Design, develop, and maintain applications that generate code, pipelines, and web applications automatically via prompts using generative and agentic AI.
Enhance contact center operations by integrating generative AI solutions that improve customer experience and operational efficiency.
Apply software design principles and common patterns to write clean, maintainable, and scalable code.
Leverage unit testing frameworks to ensure code quality and reliability.
Experiment with and implement cutting-edge LLM agentic technologies to enhance application capabilities.
Collaborate with cross-functional teams and business stakeholders to accelerate adoption of AI-powered tools.
Implement GAI solutions in alignment with Duke Energy AI Policies.
Conduct R&D to explore new AI techniques and future technologies such as blockchain and quantum computing.
Optimize and fine-tune AI models for performance, scalability, and accuracy.
Provide technical guidance and mentorship to junior team members.