Gen AI Engineer

Job Description:

Hybrid in Charlotte, NC (2 days per week in office)

Job Title:

Gen AI Engineer

Job Summary
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 contact center operations 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.
________________________________________

Key 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.
________________________________________

Preferred Qualifications
" 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 Dev Ops 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.