
11 - 50 employees
🤖 Artificial Intelligence
🏢 Enterprise
💰 $80.6G Series B on 2023-12
Artificial Intelligence • Legal • Enterprise
Harvey is a professional class AI solution tailored specifically for law firms, professional service providers, and Fortune 500 companies. It offers a suite of domain-specific tools that enable users to delegate complex tasks in natural language to a customized personal assistant. Harvey's platform facilitates rapid research with grounded results across legal, regulatory, and tax domains, while also providing secure project workspaces for document analysis through generative AI. With a focus on enterprise-grade security and industry-leading AI models, Harvey aims to streamline workflows and free professionals, such as lawyers, from mundane tasks, enabling them to concentrate on strategic and advisory roles.
🕒 May 2
🏢🏡 New York City – Hybrid
💵 $231k - $340k / year
⏰ Full Time
🔴 Lead
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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11 - 50 employees
🤖 Artificial Intelligence
🏢 Enterprise
💰 $80.6G Series B on 2023-12
Artificial Intelligence • Legal • Enterprise
Harvey is a professional class AI solution tailored specifically for law firms, professional service providers, and Fortune 500 companies. It offers a suite of domain-specific tools that enable users to delegate complex tasks in natural language to a customized personal assistant. Harvey's platform facilitates rapid research with grounded results across legal, regulatory, and tax domains, while also providing secure project workspaces for document analysis through generative AI. With a focus on enterprise-grade security and industry-leading AI models, Harvey aims to streamline workflows and free professionals, such as lawyers, from mundane tasks, enabling them to concentrate on strategic and advisory roles.
• Partner with customers and PMs to understand legal workflows, design practical evaluations that capture what “excellent” means, and ship agents that get the job done. • Optimize agent performance through prompt engineering, model selection, tool design, skill writing, context window management, and eval harness development. • Work with our model infra team to design and implement infrastructure for low-latency agent execution, including caching strategies, parallel tool calls, or subagent patterns. • Improve our observability and instrumentation to profile agent behavior, identify bottlenecks, and drive optimization decisions. • Stay current on new developments in agentic systems and bring those learnings back to the products we build.
• 8+ years (post-BS/MS) of software engineering experience • Proficiency in Python and experience working with LLM APIs and agent frameworks • Experience with shipping user-facing products, either on the backend or full-stack
• Comprehensive health, dental and vision coverage • Retirement benefits (401k match up to 4%) • Flexible PTO
Apply Now🕒 May 1
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