- Refine enhance and expand an existing agentic LLM framework to improve quality speed and user experience.
- Train tune and optimize models to elevate accuracy reliability and performance in production environments.
- Improve interface workflow and user interaction patterns to support adoption and seamless usability.
- Work closely with business users engineering teams and product stakeholders to understand friction points and deliver improved user experiences.
- Design and sustain advanced AI applications using LLMs agentic frameworks and generative AI tools.
- Conduct hands-on R&D on emerging technologies including next-gen LLMs agentic systems blockchain and quantum concepts.
- Ensure all development follows Duke Energys established AI governance and policy standards.
- Provide technical guidance mentorship and support to junior engineers and partner teams.
- Support deployment processes integration steps and continuous improvement cycles.
- Bachelors degree in Computer Science Information Systems or related field OR 8 years equivalent industry experience.
- 2 3 years direct hands-on experience implementing Generative AI/LLM systems.
- 4 5 years software engineering experience with strong backend/API or full-stack exposure.
- Proven experience tuning refining or enhancing AI/LLM-driven systems in production.
- Understanding of agentic architectures and the components required to build them.
- Strong background in AI/ML engineering prompt engineering fine-tuning and model evaluation.
- Experience improving UX/UI flows for AI-powered applications; product-minded engineering skillset.
- Familiarity with DevOps/CI-CD pipelines and deployment best practices.
- Knowledge of NLP model orchestration and multi-agent workflows.
- Proficiency in Python React Angular and cloud technologies (AWS preferred).
- Strong interpersonal skills to collaborate with business users and drive adoption.
- Strong research appetite to evaluate and integrate emerging AI products and LLM technologies.
- Location: Onsite/Hybrid Charlotte NC (local candidates prioritized)
- Work Authorization: USC / GC / H1B acceptable
Key Responsibilities Refine enhance and expand an existing agentic LLM framework to improve quality speed and user experience. Train tune and optimize models to elevate accuracy reliability and performance in production environments. Improve interface workflow and user interaction patter...
- Refine enhance and expand an existing agentic LLM framework to improve quality speed and user experience.
- Train tune and optimize models to elevate accuracy reliability and performance in production environments.
- Improve interface workflow and user interaction patterns to support adoption and seamless usability.
- Work closely with business users engineering teams and product stakeholders to understand friction points and deliver improved user experiences.
- Design and sustain advanced AI applications using LLMs agentic frameworks and generative AI tools.
- Conduct hands-on R&D on emerging technologies including next-gen LLMs agentic systems blockchain and quantum concepts.
- Ensure all development follows Duke Energys established AI governance and policy standards.
- Provide technical guidance mentorship and support to junior engineers and partner teams.
- Support deployment processes integration steps and continuous improvement cycles.
- Bachelors degree in Computer Science Information Systems or related field OR 8 years equivalent industry experience.
- 2 3 years direct hands-on experience implementing Generative AI/LLM systems.
- 4 5 years software engineering experience with strong backend/API or full-stack exposure.
- Proven experience tuning refining or enhancing AI/LLM-driven systems in production.
- Understanding of agentic architectures and the components required to build them.
- Strong background in AI/ML engineering prompt engineering fine-tuning and model evaluation.
- Experience improving UX/UI flows for AI-powered applications; product-minded engineering skillset.
- Familiarity with DevOps/CI-CD pipelines and deployment best practices.
- Knowledge of NLP model orchestration and multi-agent workflows.
- Proficiency in Python React Angular and cloud technologies (AWS preferred).
- Strong interpersonal skills to collaborate with business users and drive adoption.
- Strong research appetite to evaluate and integrate emerging AI products and LLM technologies.
- Location: Onsite/Hybrid Charlotte NC (local candidates prioritized)
- Work Authorization: USC / GC / H1B acceptable
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