VP, Generative AI
Lirio
Principal Generative AI Scientist
Lirio
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteSalary
💰 $220,000 per year
Job Level
Lead
About the role
- Lead research initiatives to drive conversational AI model improvements and guide generative AI-driven product solutions
- Collaborate with AI researchers and engineers to improve conversational technologies and integrate them into Lirio’s objective-driven architecture and agentic framework
- Ensure conversational feedback is leveraged in the proprietary behavior-based foundation model
- Research, develop, and improve techniques to enable behavioral-science content libraries and knowledgebases to be optimally 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 safety and trustworthiness of medical chatbots
- Plan and carry out integration of scientific research advances within 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
- PhD in Computer Science, Computer Engineering, Mathematics, or a related field
- 7+ years of experience
- Deep expertise in LLMs, conversational AI, deep learning, transformer architectures, and attention mechanisms
- Practical LLM engineering experience: model alignment, fine-tuning, RAG, guardrail implementation, agentic communication protocols
- Expertise in general machine learning principles and theory (deep reinforcement learning, multi-task learning, JEPA, optimization)
- Demonstrated contributions to scientific advances through publications and thought leadership
- Experience operationalizing conversational AI models and deploying/hosting agentic models
- Experience deploying AI technologies within healthcare is highly desirable
- Extensive R&D background in machine learning focused on LLMs and conversational models (research + engineering)
