Lirio

VP, Generative AI

Lirio

full-time

Posted on:

Origin:  • 🇺🇸 United States • Tennessee

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Salary

💰 $220,000 per year

Job Level

Lead

About the role

  • Design, develop, and integrate Generative LLM-based conversational models within Lirio’s AI architecture
  • Lead integration of conversational, generative-LLM-based technologies into Lirio’s Objective-Driven Multi-Agent Framework
  • Lead research initiatives to drive conversational AI model improvements and guide creation of generative AI-driven solutions and products
  • Collaborate with AI researchers and engineers to improve conversational technologies and integrate them into the objective-driven architecture and agentic framework
  • Ensure conversational feedback is leveraged in the proprietary behavior-based foundation model
  • Research and develop techniques to enable behavioral-science content libraries and knowledgebases to be leveraged in real-time by language models
  • Align and leverage feedback mechanisms within the Objective-Driven AI framework for LLM conversational models
  • Work with personalization experts to leverage personalized embeddings and broader context in patient-facing conversational models
  • Contribute to research on the safety and trustworthiness of medical chatbots
  • Plan and carry out integration of scientific research advances into Lirio’s products following software engineering processes
  • Oversee design, build, and maintenance of scalable, secure generative AI platforms and core services
  • Contribute to Lirio’s mission of improving health outcomes for everyone

Requirements

  • Deep expertise in LLMs, conversational AI, deep learning, transformer architectures, attention mechanisms
  • Practical LLM engineering experience (model alignment, fine-tuning, RAG, guardrail implementation, agentic communication protocols)
  • Sufficient expertise in general machine learning principles and theory (deep reinforcement learning, multi-task learning, JEPA, optimization)
  • Demonstrated ability to contribute to scientific advances through publications and thought leadership
  • Experience operationalizing conversational AI models and deploying/hosting agentic models
  • Experience deploying AI technologies within the healthcare space is highly desirable
  • PhD in Computer Science, Computer Engineering, Mathematics, or a related field
  • 7+ years of experience
  • Extensive R&D background in machine learning focused on LLMs and conversational models (research and engineering)