Senior Prompt Engineer

Job Title: Senior Prompt Engineer Data Science & GenAI
Location: charlotte, NC (Hybrid 3 Days Onsite)
Experience: 8+ Years (with strong Data Science and Generative AI expertise)

Job Overview:
We are looking for a Senior Prompt Engineer with a solid data science background and expertise in Generative AI to design, optimize, and implement advanced prompt strategies across large language model (LLM) applications. The ideal candidate will combine deep technical proficiency in AI/ML with strong creative and analytical problem-solving skills to improve AI accuracy, performance, and contextual relevance.

Key Responsibilities:

• Design and develop effective prompt engineering strategies for LLM-based solutions.
• Collaborate with data scientists, ML engineers, and product teams to fine-tune prompts for various business use cases.
• Evaluate and optimize LLM output quality through prompt iteration, token efficiency, and model selection.
• Lead data-driven experiments to assess LLM performance and improve model reliability.
• Create reusable prompt templates and frameworks suited for enterprise GenAI implementations.
• Integrate AI and NLP solutions into pipelines supporting chatbots, summarization, and other automation tools.
• Monitor model accuracy, drift, and quality metrics for continuous improvement.
• Document prompt patterns, best practices, and usage guidelines for internal teams.

Required Skills:

• Strong experience in Data Science, Machine Learning, and NLP model development.
• Deep understanding of LLMs such as GPT, Claude, Gemini, and similar transformer-based models.
• Hands-on experience with GenAI frameworks and APIs (OpenAI, Hugging Face, LangChain, Vertex AI, etc.).
• Expertise in prompt engineering, fine-tuning, and model evaluation methodologies.
• Proficiency in Python, data analysis tools, and cloud environments (AWS, Azure, or Google Cloud Platform).
• Familiarity with MLOps and LLMOps frameworks for deployment and performance monitoring.
• Excellent analytical, communication, and problem-solving skills.

Preferred Qualifications:

• Master's degree in Data Science, Computer Science, or AI-related field.
• Experience implementing GenAI or conversational AI solutions in production environments.
• Knowledge of vector databases, embeddings, and RAG (Retrieval-Augmented Generation) models.