Harvey

This role focuses on building and optimizing agentic AI systems for legal professionals. Responsibilities include designing agent environments and actions, managing context windows, creating tools, developing evaluations for faster iteration, and optimizing agent performance through prompt engineering, model selection, and tool design. The role also involves working with infrastructure teams for low-latency execution and improving observability.

Staff Software Engineer focused on building and optimizing agentic AI systems for legal professionals. Responsibilities include designing agent environments, selecting models, managing context, creating tools, developing evaluations, and improving agent performance through prompt engineering, model selection, and tool design. The role also involves working with infrastructure teams on low-latency execution and enhancing observability.

Software Engineer, Agents role at Harvey, focusing on building AI agent systems for legal professionals. Responsibilities include designing environments and actions for agents, managing context windows, creating tools, and developing evaluations to improve iteration loops and task completion quality. The role involves optimizing agent performance through prompt engineering, model selection, tool design, and working with model infra teams on low-latency execution and observability. Requires Python proficiency, experience with LLM APIs and agent frameworks, and shipping user-facing products.

This role focuses on building and optimizing agentic AI systems for legal professionals. The engineer will design environments, actions, and tools for these agents, manage context windows, make model selection decisions, and develop evaluations to improve iteration speed and task completion quality. The role involves optimizing agent performance through various techniques and working with infrastructure teams for low-latency execution and improved observability. Experience with LLM APIs, agent frameworks, and shipping user-facing products is required.

Software Engineer, Agents role at Harvey, focusing on building systems for AI agents in legal and professional services. Responsibilities include designing environments and actions for agentic work, managing context windows, creating tools, and developing evaluations to improve iteration loops and unlock new capabilities. The role emphasizes shipping impactful products and using practical evaluations to drive task completion quality and customer delight.

Software Engineer focused on building and optimizing AI agents for legal professionals, involving prompt engineering, tool design, context window management, and performance evaluation. The role emphasizes shipping user-facing products and improving agent execution infrastructure and observability.

Staff Software Engineer, AI Platform at Harvey, a company transforming legal and professional services with agentic AI. The role focuses on building the foundational AI platform, including context management, agent infrastructure, model integration and routing, and evaluation frameworks. This is a critical role for scaling AI capabilities across the company.

Staff Software Engineer, AI Platform at Harvey, focusing on building the foundational AI platform for agentic AI systems in the legal domain. Responsibilities include context engineering, agent infrastructure, model integration/routing, evaluation infrastructure, and shared abstractions to enable product teams. Requires experience in backend systems, AI/ML engineering, and shipping multi-model AI systems.

Senior Software Engineer, AI Platform role at Harvey, focusing on building foundational AI infrastructure for agentic products in the legal domain. This involves context engineering, model integration/routing, and evaluation infrastructure, aiming to set the ceiling for Harvey's AI capabilities.

Senior Software Engineer for AI Platform at Harvey, focusing on building foundational agentic AI infrastructure, including context management, model routing, and evaluation frameworks for enterprise legal services. The role involves designing and implementing shared abstractions and platform-level systems to enhance agentic products and ensure reliable AI quality.

Senior Fullstack Engineer to embed with enterprise customers, build and productionize custom LLM-powered workflows, integrate with client systems, and develop evaluation frameworks for AI solutions. This role focuses on taking cutting-edge AI systems and turning them into reliable, scalable, and observable production-grade workflows.

Backend Software Engineer to own and lead engineering projects across product lines, working closely with AI, Legal, and GTM teams to build secure systems delivering value to customers. Focus on application layer and GenAI products.

Backend Software Engineer to build secure systems for enterprise-grade agentic AI products, focusing on retrieval over large documents, organizational interfaces for AI collaboration, managing GPU capacity, developing complex planning agents, and ensuring government-level security. The role involves evaluating LLMs and collecting internet-scale data.

Senior Backend Software Engineer to build secure systems for enterprise-grade agentic AI products in the legal domain, focusing on retrieval, collaboration interfaces, GPU management, complex agents, and LLM evaluation.

Senior Backend Software Engineer to build secure systems for enterprise-grade agentic AI products in the legal and professional services domain. The role involves working across the stack on application layer and genAI products, managing GPU capacity, and developing complex agentic systems.

Engineering Director to build and lead a Forward Deployed Engineering program for enterprise clients, focusing on delivering tailored AI solutions and influencing the product roadmap. This role involves team leadership, technical execution of LLM applications, and ensuring client success.

This role focuses on building and implementing AI-powered agentic applications and bespoke tooling to optimize the Go-To-Market (GTM) lifecycle for a legal and professional services company. The Business Analyst will translate business objectives into technical requirements, design automations, leverage AI agents for tasks like account research and prospect prioritization, and manage data integrity within the GTM technology stack. The role requires experience in consulting or high-growth B2B SaaS, a strong understanding of AI first principles, and the ability to build micro-apps on agentic platforms.

This role is for a GTM Business Analyst who will partner with the GTM Technology team to build agentic applications and bespoke tooling. The focus is on the orchestration and data layers to automate account research and prospect prioritization, eliminating friction across the GTM lifecycle. The candidate will act as an advisor and engineer for the tech stack, demonstrating AI first principles and experience with agentic applications.

Engineering Manager for the Document Platform team, responsible for leading a team of engineers to build and scale systems for document ingestion, understanding, and retrieval. This involves defining technical roadmaps, collaborating with other teams, and staying hands-on with backend systems, distributed systems, and cloud environments. Experience with document processing, search systems, or data infrastructure like OCR and vector databases is ideal.

Role focused on applying legal expertise to develop and improve AI systems for professional services. Involves subject-matter expertise, prompt engineering, fine-tuning, building benchmarks/datasets, and client partnership to translate legal/business needs into AI solutions. Requires a JD or equivalent, 3-7 years of legal/financial services experience, and a willingness to perform detailed, "in the trenches" work to train AI models.

This role focuses on applying and improving AI systems, specifically agentic AI, within the legal domain. The individual will leverage their legal expertise to inform AI research, work closely with engineering and product teams, and use techniques like prompt engineering and fine-tuning to build and enhance AI capabilities. A key responsibility is developing benchmarks and datasets for model evaluation, and partnering with clients to translate legal requirements into technical solutions. The role involves hands-on work to enable AI systems to perform tasks typically done by junior legal professionals.

Staff Software Engineer to own backend architecture for Harvey's embedded AI experiences in tools like Microsoft Word and Outlook, focusing on scalable systems and AI-powered workflows for professional services.

Director of Engineering, Core Product at Harvey, a company transforming legal and professional services with agentic AI. This role focuses on architecting and leading the core product experience, evolving it into a unified, agentic platform for legal knowledge work. Responsibilities include overseeing flagship experiences, guiding the transition to a scalable agentic platform, and scaling the engineering organization by hiring AI talent. Requires a product-minded engineering leader with GenAI expertise, experience scaling teams, and thriving in high-growth environments.

Staff Software Engineer for the Product Engineering team at Harvey, focusing on building secure, enterprise-grade AI products for the legal and professional services industry. The role involves full-stack development, working with AI and Legal teams, and managing infrastructure for AI applications, including large-scale document retrieval, agentic systems, and LLM evaluation.

Backend Software Engineer to build secure systems for enterprise-grade agentic AI products, focusing on retrieval over large documents, AI collaboration interfaces, GPU capacity management, complex planning agents, and LLM evaluation.

Backend Software Engineer to own and lead engineering projects across product lines, working closely with AI, Legal, and GTM teams to build secure systems delivering value to customers. Focus on building the future of application layer and genAI products.

Senior Backend Software Engineer to build secure systems for enterprise-grade agentic AI products, focusing on retrieval over large documents, AI collaboration interfaces, GPU capacity management, complex planning agents, and LLM evaluation.