Design and build abstractions and platform-level systems that improve all of Harvey's agentic products.
Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context.
Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively.
Own software architecture and delivery: design, deploy, and operate systems at scale
Design and evolve our AI systems, including: prompting and orchestration logic context and retrieval systems (search, integrations, memory) evaluation infrastructure (LLM-as-judge, regression testing) expert feedback systems (building eval sets from their natural workflow)
Hire, manage, and grow the engineering team (currently 3 FTEs)
Inhouse is the #1 AI lawyer for small to midsize businesses. They combine AI, their own law firm, and an expert feedback loop to deliver fast, compliant, high-quality legal work at a fraction of the cost and turnaround time of traditional firms.
Drive the design, delivery, and evolution of the GenAI Core platform.
Own and evolve service architecture, APIs, and integration contracts, with a high bar for reliability and observability.
Set technical direction for key parts of the platform, including LLM routing, budget enforcement, observability pipelines, and evaluation infrastructure.
Pleo provides spend solutions that make managing money seamless, empowering, and effective for finance teams and employees. They are a company of 850+ people from over 100 nationalities, committed to delivering the future of business spending.
Build the application-layer foundations for AI integration at Roofr.
Design and implement reliable, scalable integrations with third-party services and APIs.
Build data pipelines that feed Roofr's AI systems.
Roofr is obsessed with its customers, gathering feedback to shape and launch the products they need. It started by building essential sales tools and created a CRM to connect solutions into a seamless platform, focused on growth and innovation.
Design and build the AI platform layer, including data pipelines and serving infrastructure.
Productionize AI/ML capabilities, ensuring reliability, performance, and scalability.
Architect data pipelines to ingest, transform, and serve data to power AI features.
Lone Wolf Technologies is building AI capabilities into the core of its platform, transforming how real estate professionals manage transactions, serve clients, and grow their businesses. The company's culture fosters innovation and collaboration, empowering employees to contribute to impactful projects.
Design features connecting natural language queries with a large corpus of legal knowledge.
Build a data architecture you are proud to highlight.
Use unstructured data to build large scale data sets.
Trellis Law is the leading provider of state trial court data in the U.S. They leverage AI and Machine Learning to analyze hundreds of millions of state trial court documents, transforming complex data into actionable insights. Founded in 2018, Trellis has experienced rapid growth and is now trusted by many of the nation’s largest law firms and corporate legal teams.
You’ll help establish patterns, ship early AI-driven capabilities, and influence the technical direction of AI across multiple products.
This is a full-stack role where you will build and ship AI-powered features across the Momence platform.
Collaborate with teams across Momence, Mariana Tek, and other platforms to identify high-impact opportunities for AI.
Xplor provides cloud-based technology solutions to small and medium-sized businesses to help them manage and grow. They have over 130,000 businesses in 72+ countries rely on Xplor.
Partner with stakeholders across the organization to identify and prioritize high-value opportunities for AI and automation.
Design, develop, and support AI & automation systems that drive measurable business outcomes—from initial scoping to production deployment.
Design, build, and maintain scalable infrastructure, including frontend interfaces, backend services, and the underlying AI platform layer.
Continued is an EdTech company dedicated to empowering professionals and enhancing careers. They are a 100% virtual team scattered across the country, maintaining a tight-knit culture driven by curiosity, a love of learning, and a desire to solve complex problems.
Own technical direction for high-impact AI products and work across teams to turn big ideas into shipped systems.
Help raise the bar for how they build, evaluate, and operate AI in production.
Rula strives to create a world where mental health is no longer stigmatized and provides quality, evidence-based care. They are a remote-first company that is dedicated to treating the whole person, not just the symptoms, and making a positive impact in the field of mental healthcare.
Architect, develop, and deploy robust, multi-step agentic workflows and multi-agent orchestration systems.
Design and implement memory and context management strategies to ensure agent coherence and continuous improvement.
Establish and maintain AgentOps practices, including evaluation frameworks, observability, and monitoring for agent performance.
Atria is an AI-powered ad creative workflow platform that helps marketing teams generate more revenue by producing winning ads more efficiently. They are trusted by top brands and forward-thinking agencies, focusing on enhancing performance across Meta and TikTok channels.
Translate complex customer business process challenges into innovative, high-impact AI solutions.
Operate at the intersection of Customer Success, Product Management, and Engineering.
Influence product evolution by ensuring learnings are folded back into the core platform.
Moveworks was founded in San Diego, California in 2004. Moveworks is a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500, by seamlessly connecting people, systems, and processes.
Build and maintain context infrastructure for AI tools.
Design and run evaluation frameworks for AI-generated insights.
Build and orchestrate AI agent systems for analytics tools.
Airtable is a no-code app platform empowering people to accelerate critical business processes. More than 500,000 organizations rely on Airtable to transform how work gets done, suggesting a large company size and a culture of innovation.
Build out the intelligent AI layer of the agentic travel experience.
Translate research into reliable, safe, production-grade systems.
Build evaluation frameworks for agentic workflows.
RYZ Labs is a startup studio founded in 2021 by two lifelong entrepreneurs. Their teams are remote and distributed throughout the US and Latam, using the latest cutting-edge cloud computing technologies to create scalable and resilient applications.
ServiceNow is a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Their intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
Contribute to the development of software infrastructure to support the creation of agentic systems.
Deploy and operate cloud-hosted services for use by the research community.
Define key directions to keep UChicago at the forefront of AI/ML and national data infrastructure.
The University of Chicago delivers solutions to the research community worldwide through Globus, a sustainable, non-profit unit. They develop cloud-based software for governmental, academic, and commercial organizations, emphasizing data management challenges, and house employees in downtown Chicago and remotely.
Deliver Engineering-Ready Escalations: Include an issue summary, trace logs, verified reproduction steps, document context, and business impact assessment.
Eve is redefining legal technology for plaintiff law firms, helping firms handle more cases, recover more for clients, and grow with AI. They are backed by top investors and have engineers, designers, and operators from places like Scale, Meta, and Airbnb.
Partner with pharmaceutical and biotech companies to solve high-impact problems by designing, building, and deploying solutions on top of Owkin’s agentic AI platform, Owkin K.
Design, implement, and deploy production-grade AI systems on top of Owkin K by writing code, building integrations, designing data pipelines, and turning ambiguous problems into reliable software.
Integrate solutions into large, complex, and regulated organizations and work with diverse datasets, existing systems, and multiple stakeholders to ensure that the tools you build are reliable, scalable, and actively used in production.
Owkin is an AI company with a mission to solve the complexity of biology by building the first Biology Super Intelligence (BASI). They combine biological large language models, multimodal patient data, and agentic software, with Owkin K being an AI copilot that researchers, clinicians, and drug developers use.
Build trusted relationships with law firm and in-house legal teams by understanding their workflows and guiding them on integrating AI.
Design and lead onboarding sessions, training workshops, and enablement programs to drive adoption and maximize platform value.
Act as a strategic partner to Customer Success and Sales teams to identify expansion opportunities and support renewals through demonstrated impact.
Harvey is transforming legal and professional services through frontier agentic AI and an enterprise-grade platform. With over 1,000 customers across 60+ countries, it is a fast-scaling, high-bar company driven by a sharp, motivated team operating with intensity and ownership.
Design the foundations and technical roadmap of the AI layer within the Hume platform.
Contribute to the codebase, setting the standard for technical excellence, performance, and scalability.
Work within a shared decision-making structure alongside Product Managers and our Chief Scientist.
GraphAware is a company striving for excellence in connected data analytics, empowering democratic government agencies. They have a motivating and supportive environment, where autonomy is balanced with accountability.
Architect and implement a robust agentic framework that supports tool use, context retrieval, memory, and planning.
Build intelligent, modular agents that automate investigative tasks and augment analyst decision-making in high-sensitivity environments.
Extend and scale LLM infrastructure, including prompt engineering, RAG, and evaluation loops, while designing for safety, observability, and auditable behaviors.
TRM Labs provides blockchain analytics and AI solutions to help law enforcement, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto-related fraud and financial crime. The Series C company is headquartered in San Francisco, operates as a distributed-first team with hubs worldwide, and is backed by firms like Goldman Sachs and Y Combinator, fostering a high-velocity, high-ownership culture that values experimentation and mission-driven collaboration.