Tech Stack

Description

You will drive innovation as a technical leader, developing and deploying large language models and multi-agent systems. You'll collaborate with cross-functional teams to integrate LLMs into applications, design novel architectures, curate datasets, and mentor the machine learning team.

Requirements

• PhD in Computer Science, AI, or Machine Learning
• Proven experience in developing and deploying LLMs
• Strong background in multi-agent systems and flow engineering
• Experience in Python with PyTorch, HuggingFace, Langchain/LlamaIndex
• Track record of published research preferred

Responsibilities

• Drive innovation and lead technical development of LLMs and multi-agent systems
• Collaborate with teams to integrate LLMs into applications and workflows
• Develop testing strategies for LLM performance and effectiveness
• Design novel LLM architectures to meet business requirements
• Curate high-quality datasets and explore synthetic data generation