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, focusing on building foundational agentic AI infrastructure, including context management, model routing, and evaluation frameworks for enterprise professional services.

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.

Staff Product Manager to own a core surface of Harvey's Agent platform, defining how lawyers interact with AI agents, how agents are created/discovered, and the underlying platform. This involves 0-to-1 product work in a regulated space, focusing on user experience, technical depth, and enterprise complexity like ethical walls, audit trails, and governance.

Senior Software Engineer, AI Platform at Harvey, focusing on building the foundational AI platform for agentic AI products in the legal domain. This role involves designing and implementing systems for context management, model integration and routing, and evaluation infrastructure to support multiple AI agents and products.

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, Product at Harvey, responsible for shaping the product platform and building user-facing features for law firms and enterprise customers. The role involves owning the platform layer for secure, reliable experiences, including notifications, permissions, and feature flags, as well as building collaboration product experiences. The team designs and owns systems that serve as critical infrastructure and directly impact user engagement with Harvey's AI-powered legal tools. The role requires moving between deep platform thinking and hands-on product iteration.

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.

Product Manager role focused on defining, building, and scaling AI agent-powered solutions for strategic enterprise customers in the legal and professional services domain. The role involves deep customer discovery, workflow mapping, translating needs into agent-powered solutions, and driving deployments. Key responsibilities include ensuring repeatability, developing roadmaps, collaborating cross-functionally, and influencing commercial models.

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.

Product Manager to build out integrations with strategic partners and vendors, enable search over data sources using MCPs and deep research, and architect systems to bring legal context into Harvey. This role requires a strong technical foundation, ability to partner with engineering on technical architecture, and experience navigating ambiguity to deliver enterprise B2B products.

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.

Staff Software Engineer to own and lead engineering projects across product lines, working with AI, Legal, and GTM teams to build secure systems for enterprise legal and professional services, leveraging agentic AI and genAI.

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.

Senior Full Stack Engineer to own and lead engineering projects across product lines, working closely with AI, Legal, and GTM teams to build secure systems for enterprise customers. Focus on application layer and genAI products, including retrieval over large documents, organizational interfaces for AI collaboration, managing GPU capacity, developing complex agents, and ensuring government-level security.

This role focuses on establishing scalable data foundations for an AI company, designing and implementing data models, pipelines, and processes to support analytics. The Senior Data Analyst will partner with various teams to create dashboards, conduct end-to-end analysis, and collaborate with engineering on data architecture. A key aspect involves analyzing AI/LLM product performance, including RAG, agentic workflows, and model evaluations, and driving experimentation.

Group Product Manager to drive the strategy, development, and delivery of Harvey's Knowledge Platform, focusing on integrations with legal content and tools. This role owns scaling the ecosystem of third-party connectors and data partner integrations, bringing legal context into Harvey and strengthening user engagement. Requires strong technical fluency in enterprise SaaS, data pipelines, and AI concepts like vector search and RAG.

This role is for a Senior Software Engineer, Backend at Harvey, a company transforming legal and professional services with agentic AI. The engineer will design and operate backend systems that integrate cutting-edge AI capabilities into product experiences, build secure multi-tenant services, orchestrate LLM and agentic tool interactions, and define backend architecture for AI products. The role involves shipping foundational systems with immediate business and customer impact.

Staff Product Manager to own and scale Harvey's Embedded Experiences product area, focusing on integrations with tools like Microsoft Word and Outlook, and defining Harvey's external API strategy and developer experience. The role involves cross-functional leadership, partner collaboration, and driving commercial sense through ecosystem capabilities.

Staff Product Manager to drive the strategy, development, and delivery of Harvey's Knowledge Platform, focusing on integrations with legal content and tools to strengthen user engagement. This role involves owning a critical product area end-to-end, collaborating with engineering and business development, and expanding the connector ecosystem for enterprise customers.

This role focuses on building and scaling a developer platform, including CI/CD, test frameworks, and internal tools, to accelerate the velocity and efficiency of engineers at an AI-native company. A key aspect is integrating AI agents to enhance developer productivity and automate parts of the software development lifecycle.

Staff Software Engineer to own backend architecture for embedded AI experiences in professional services, focusing on integrations with enterprise platforms like Microsoft Word and Outlook. The role involves designing and building scalable systems, partnering with customers, and driving technical decisions in an autonomous, high-impact environment.

Staff Software Engineer, Developer Experience (DevEx) at Harvey, an AI-native company transforming legal and professional services. This role focuses on building and scaling the developer platform, CI/CD systems, internal frameworks, and guardrails to enable rapid and safe AI feature shipping. Key responsibilities include developing load testing and benchmarking infrastructure for AI-native applications, pioneering AI agent integration into the software development lifecycle, and collaborating with teams to embed reliability and observability. The role requires strong technical leadership and experience in backend systems or internal developer platforms, with a strong plus for experience integrating AI agents into a developer ecosystem.

Software Engineer, Developer Experience (DevEx) at Harvey, an enterprise AI company transforming legal and professional services. The role focuses on building and scaling the developer platform, CI/CD systems, internal frameworks, and guardrails to enable rapid and safe AI feature development. Responsibilities include creating systems to maximize engineer velocity and efficiency, pioneering AI integration for developer productivity, building load testing and benchmarking infrastructure for AI-native applications, and embedding reliability and observability into the platform. Experience with AI agents in a developer ecosystem is a strong plus.

Product Manager role at Harvey, a company transforming legal and professional services with agentic AI. The role involves working with law firms to translate legal work into AI-powered workflows, shaping pilots and deployments, and influencing product direction based on user insights. Requires experience in the legal world with a focus on innovation and systems thinking, familiarity with legal tech, and the ability to discuss generative AI and enterprise rollout.