| 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 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. |
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