Backend Engineer, Data Platform
LaunchDarklyFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $200K - $260K.
This role is based in San Francisco, CA, with an in-person work model requiring 3 days a week in the office. Relocation assistance is offered to new employees.
Key skills include developing backend frameworks and libraries for API routing, service lifecycle management, caching, messaging, and error handling, as well as expertise in modern backend architecture patterns like asynchronous I/O (asyncio) and streaming data processing.
The team is sharp, motivated, and deeply committed to the mission, moving fast with intensity, taking real ownership, staying close to customers, and thriving in ambiguity while pushing for excellence.
Strong candidates are excited about building foundational systems, solving cross-cutting technical challenges, and enabling others to move faster, with experience in backend platform engineering at a mid-to-senior level.
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.