GPU Kernel Compiler Engineer, AI Inference
NVIDIA
PythonPyTorch
VP, Generative AI
Lirio
full-time
Posted on:
Location: Tennessee • 🇺🇸 United States
Visit company websiteSalary
💰 $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)
