Harvey

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.

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.

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.

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.

This role focuses on building and scaling the developer platform, CI/CD systems, and internal frameworks to enable rapid and safe AI feature development at Harvey. It involves integrating AI agents into the software development lifecycle to improve developer productivity and applying AI to optimize the performance of AI-native applications.

Staff Software Engineer on the Product Security team at Harvey, responsible for shaping how security is built into their AI platform. The role involves defining and owning the product security roadmap, establishing security posture, partnering with engineering teams, reviewing security-critical code, architecting secure libraries, driving mitigation strategies during incidents, and mentoring engineers. The company emphasizes its AI platform and the need for security at every stage of the product lifecycle.

Staff Software Engineer, Product Security at Harvey, focusing on building security into their AI platform from the ground up. Responsibilities include defining the security roadmap, establishing security posture, partnering with engineering teams, reviewing security-critical code, architecting secure libraries, driving incident response, and mentoring engineers. Requires 8+ years of experience in product security, application security, or offensive security, with a strong track record of identifying and remediating vulnerabilities and leading cross-functional security initiatives. Experience with AI/ML systems and cloud environments is a plus.

This role is for a GTM Systems Admin (Support) at Harvey, an AI company transforming legal and professional services. The primary focus is on implementing, configuring, and optimizing Zendesk as the main support platform, and supporting adjacent Customer Success tools like Catalyst. The role involves integrating these systems with the broader Harvey technology stack, translating business needs into scalable system configurations, maintaining system health, building reports, and evaluating AI-driven features to improve efficiency. The ideal candidate has strong Zendesk expertise, familiarity with CS tools, and a systems-oriented mindset.

Senior Software Engineer on the Product Security team at Harvey, focusing on building security into their AI platform. Responsibilities include owning security of critical product areas, vulnerability research, code review, implementing technical controls and security features, and mentoring engineers. The role emphasizes an engineering-first mindset and leverages offensive security experience.

Staff Software Engineer on the Core Infrastructure team responsible for designing, building, and scaling infrastructure systems for a global legal AI platform. This includes managing multi-cloud infrastructure (Azure, GCP), Kubernetes, networking, observability, and distributed systems for reliability and efficiency. The role involves optimizing inference request routing, rate limiting, and deployment strategies to support a rapidly growing user base and enterprise clients.

Staff Software Engineer on the Core Infrastructure team responsible for designing, building, scaling, and strengthening infrastructure systems that power Harvey's AI platform. This includes managing multi-cloud infrastructure, Kubernetes, observability, incident response, and distributed systems optimization to ensure reliability, scalability, and security for enterprise customers.

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.

This role is for a Security Engineer focused on detection and response within an enterprise AI company. The primary focus is on building and maintaining a threat detection platform, using offensive security expertise to identify vulnerabilities, and responding to security incidents. While the company utilizes AI, this role is not directly building AI models but rather securing the AI platform and infrastructure.

This role focuses on building and maintaining the marketing technology stack, integrating systems, and developing AI-powered workflows to reduce manual work for the marketing team. It also involves analytics and reporting to provide visibility into performance. The role requires experience with CRM systems, data analysis, and a curiosity for AI tools.

This role focuses on building and maintaining marketing infrastructure, including martech stack integration, AI-powered workflows, and analytics/reporting, to support an AI company in the legal sector. The analyst will work with CRM systems, automate processes, and ensure data quality and usability.

This role focuses on building and maintaining marketing infrastructure, including martech stack integration, AI-powered workflows, and analytics/reporting. The goal is to reduce manual work and improve efficiency for the marketing team within an AI company.

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 on the Core Infrastructure team responsible for designing, building, scaling, and strengthening infrastructure systems that power Harvey's AI platform. This includes managing multi-cloud infrastructure (Azure, GCP), Kubernetes, networking, container management, observability, incident response, and distributed systems optimization. The role also involves driving infrastructure-as-code practices and mentoring engineers. Representative projects include building a model proxy architecture, rate limiting systems, multi-region deployments, and observability infrastructure.

This role is for a Senior Technical Support Specialist who will be the primary escalation point for complex customer issues related to AI-powered products. The role involves advanced troubleshooting, bug management in partnership with Engineering and Product, and team enablement. The ideal candidate has experience supporting complex AI/ML-driven products and excels at problem-solving in fast-paced environments.

This role is for a Technical Program Manager focused on Quality and Reliability for an enterprise AI product. The TPM will own release management, introduce change safety standards, lead reliability initiatives, define and report on reliability metrics, identify systemic gaps in processes, drive issue resolution, and manage the incident management lifecycle. They will also oversee vendor reliability and SLA compliance. The role requires experience in technical program or release management, understanding of engineering workflows, and experience partnering with engineering and product leadership. Bonus points for familiarity with incident management and monitoring tools.

Staff Design Systems Designer responsible for defining and evolving the design system foundations (components, patterns, tokens) for an AI-native product, ensuring coherence, scalability, and trustworthiness across complex AI-powered experiences. This role collaborates closely with frontend and platform engineering to ship production-ready system components, establish governance models, and advocate for system adoption, while embedding accessibility, responsiveness, and performance.