Job Title: Applied AI – Principal Applied AI Scientist / Quant Engineer
Hybrid (3x per week) in Dallas, TX or Charlotte, NC
§ Desired Qualifications:
§ Strong expertise in AI model development and deployment with a strong background in LLMs, generative AI, and AI-engineering
§ Deep experience with generative AI models, including model prompting, tuning, and safety best practices
§ Expertise in solution architecture and applying modular design techniques to agentic workflows
§ Solid grasp of data and error analysis, identifying issues and patterns throughout the AI pipeline
§ Strong expertise in test or eval driven development, ensuring robust and scalable AI software
§ Experience in backend application software development, with ability to quickly adapt to C#, and Python code bases
§ Strong understanding of Retrieval-Augmented Generation (RAG), knowledge graphs and agentic workflows
§ Deep knowledge of AI infrastructure, Generative AI Operations, and enterprise-scale AI adoption strategies
§ Familiarity with enterprise-scale software systems and their integration within large organizations
§ Passion for building AI solutions that deliver a seamless, end-user-focused experience
§ Experience in enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies
§ Strong understanding of human centered AI design for workplace applications
§ Excellent collaboration, communication, and problem-solving skills
§ Nice to have: prior experience with knowledge graph technologies and the design and validation of semantic matching frameworks in enterprise environments.
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