AI Engineering Curriculum Manager
DataCamp- Full Time
- Junior (1 to 2 years)
Candidates should have at least 3 years of experience in an engineering role after obtaining a BS or MS degree. Experience with shipping a scaled and impactful product powered by machine learning is essential, along with proficiency in working across the stack on complex products.
The Applied AI Engineer will conduct data collection, experimentation, and analysis to drive algorithmic development for RAG and multi-step AI pipelines. They will also be responsible for zero-to-one product development by rapidly prototyping, evaluating, integrating, and testing new product features in collaboration with the legal team. Additionally, they will develop new AI native workflows and design systems leveraging state-of-the-art LLMs from multiple model providers.
Custom AI solutions for law firms
Harvey.ai builds custom Large Language Models (LLMs) specifically designed for top law firms to help them tackle complex legal challenges. These AI models are tailored to various legal practice areas and jurisdictions, allowing firms to enhance their efficiency and accuracy in legal work. Harvey.ai's technology includes an AI chatbot developed in collaboration with Allen & Overy, which demonstrates how their solutions can streamline operations and reduce manual workloads. The company operates on a business model that combines customization fees for developing these models with ongoing subscription fees for support and updates. Unlike many competitors, Harvey.ai focuses exclusively on the legal sector, ensuring that their products meet the unique needs of elite law firms. The goal of Harvey.ai is to transform the legal industry by providing advanced AI tools that improve decision-making and operational efficiency while maintaining high standards of data security.