Senior Frontend Engineer
GridFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $220K - $280K.
This information is not specified in the job description.
Candidates need 6+ years of frontend-focused software engineering experience on platform and/or product-oriented teams, experience shipping user-facing features across the stack with measurable impact, and strong knowledge of distributed systems, REST/gRPC APIs, databases, and scalable service architectures.
Harvey features a world-class team hiring top talent from companies like DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, and Figma, with a focus on scaling quickly, exceptional product-market fit, strategic investors, and partnerships like working directly with OpenAI.
Strong candidates have 6+ years of frontend engineering experience, skills in building foundational infrastructure and enterprise features, and the ability to collaborate cross-functionally while maintaining high standards for security and reliability in handling sensitive data.
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.