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California Licensed Principal AI Engineer
Virtual Vocations Inc
6 hours ago
Full-time
On-site
New York City, New York, United States
To shape the future of AI in cybersecurity, the full-time California Licensed Principal AI Engineer will define the technical direction for LLM and agentic AI systems, lead model strategy, and mentor engineering teams while working in a collaborative environment.
Key responsibilities
Define the architecture and technical roadmap for LLM and agentic AI systems across security products Lead model strategy decisions, including the selection and fine-tuning of models based on project needs Mentor staff and senior engineers, fostering technical excellence and guiding product and platform investments
Required qualifications
12+ years of software or ML engineering experience, with 2+ years in production LLM or agentic AI systems PhD in Computer Science, Machine Learning, AI, or equivalent industry experience Expert-level proficiency in PyTorch, including custom model code and distributed training Deep understanding of transformer architecture and hands-on experience with fine-tuning and post-training methods Strong predictive AI and classical ML fundamentals, with the ability to evaluate and choose the right approach for specific problems
Define the architecture and technical roadmap for LLM and agentic AI systems across security products Lead model strategy decisions, including the selection and fine-tuning of models based on project needs Mentor staff and senior engineers, fostering technical excellence and guiding product and platform investments
Required qualifications
12+ years of software or ML engineering experience, with 2+ years in production LLM or agentic AI systems PhD in Computer Science, Machine Learning, AI, or equivalent industry experience Expert-level proficiency in PyTorch, including custom model code and distributed training Deep understanding of transformer architecture and hands-on experience with fine-tuning and post-training methods Strong predictive AI and classical ML fundamentals, with the ability to evaluate and choose the right approach for specific problems