Lead Principal AI Engineer at iBase-t to pioneer Frontier, the industry's first true, purpose-built AI solution for Aerospace & Defense manufacturing. You will serve as a foundational technical architect integrating classical machine learning with cutting-edge Generative AI, large language models, and autonomous agentic frameworks. Responsibilities include designing and deploying production-grade agentic workflows, developing memory and planning mechanisms for autonomous AI agents, bridging traditional ML with generative paradigms, and collaborating with enterprise customers to translate complex business problems into production-ready solutions. You will lead AI architecture, mentor engineers, and drive technical strategy while interfacing with customer leadership. Key responsibilities include AI architecture and agentic frameworks; LLM lifecycle, fine-tuning and evaluations; technical leadership; and customer engagement and strategy. Qualifications include Masters or PhD in Computer Science, ML, Data Science, Electrical Engineering or related quantitative field; 5+ years of professional experience as ML/AI engineer in the United States; strong ML fundamentals; hands-on experience with PEFT (LoRA/QLoRA), RLHF; experience designing AI agent architectures, autonomous workflows, and tool integration frameworks; strong Python and software engineering practices; client-facing leadership. Preferred qualifications include experience with MES/PLM/ERP, exposure to secure or highly compliant environments (e.g., FedRAMP, ITAR), and a background in vector databases, hybrid search archi

Lead Principal AI Engineer at iBase-t to pioneer Frontier, the industry's first true, purpose-built AI solution for Aerospace & Defense manufacturing. You will serve as a foundational technical architect integrating classical machine learning with cutting-edge Generative AI, large language models, and autonomous agentic frameworks. Responsibilities include designing and deploying production-grade agentic workflows, developing memory and planning mechanisms for autonomous AI agents, bridging traditional ML with generative paradigms, and collaborating with enterprise customers to translate complex business problems into production-ready solutions. You will lead AI architecture, mentor engineers, and drive technical strategy while interfacing with customer leadership. Key responsibilities include AI architecture and agentic frameworks; LLM lifecycle, fine-tuning and evaluations; technical leadership; and customer engagement and strategy. Qualifications include Masters or PhD in Computer Science, ML, Data Science, Electrical Engineering or related quantitative field; 5+ years of professional experience as ML/AI engineer in the United States; strong ML fundamentals; hands-on experience with PEFT (LoRA/QLoRA), RLHF; experience designing AI agent architectures, autonomous workflows, and tool integration frameworks; strong Python and software engineering practices; client-facing leadership. Preferred qualifications include experience with MES/PLM/ERP, exposure to secure or highly compliant environments (e.g., FedRAMP, ITAR), and a background in vector databases, hybrid search archi