Generative AI Engineer (Python)

Generative AI Engineer (Python) Location: Charlotte, NC (Onsite) Duration: 12-Month Contract • 3rd party and subcontract staffing agencies are not eligible for partnership on this position. 3rd party subcontractors need not apply. • This position requires candidates to be eligible to work in the United States, directly for an employer, without sponsorship now or anytime in the future. We are seeking a highly skilled Generative AI Engineer with a strong Python background to design, develop, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, Gen AI frameworks, and scalable AI application development. Key Responsibilities: • Design and implement Generative AI models for text, image, and multimodal applications. • Develop prompt engineering strategies and embedding-based retrieval systems. • Build and integrate Gen AI capabilities into web applications and enterprise workflows. • Develop agentic AI applications using context engineering and MCP tools. • Create scalable AI solutions leveraging modern MLOps practices. • Work with vector databases and Retrieval-Augmented Generation (RAG) architectures to enable semantic search and knowledge retrieval. • Collaborate with cross-functional teams to deploy AI solutions in cloud environments. Required Qualifications: • 5+ years of Specialty Software Engineering experience or equivalent demonstrated through work experience, training, military experience, or education. • Strong proficiency in Python and AI/ML frameworks such as PyTorch and TensorFlow. • Hands-on experience building multi-agent systems using session and memory management techniques. • Experience utilizing MCP tools in AI application development. • Strong knowledge of Large Language Models (LLMs), transformers, and the Hugging Face ecosystem. • Understanding of MLOps practices and scalable AI deployment methodologies. • Experience with cloud-based AI services including AWS SageMaker, Azure OpenAI, and/or Google Vertex AI. • Experience with vector databases and RAG techniques for semantic search applications. Preferred Qualifications: • Experience developing production-grade Generative AI solutions. • Strong understanding of AI application architecture, performance optimization, and enterprise integration patterns. • Ability to work effectively in a fast-paced, collaborative environment.