About the role
Anrok is the leading tax automation platform enabling businesses to expand globally without compliance complexity. As the digital economy has grown 6x over the last decade, software businesses have gone from not worrying about sales tax to needing to monitor exposure, calculate rates, and file returns across 50 US jurisdictions and 100+ countries. This creates a critical bottleneck for companies that should be able to transact with customers everywhere. Anrok eliminates this complexity by connecting with billing and payment systems to automate tax monitoring, calculations, and filing end-to-end. Our unified platform handles the ever-changing maze of tax laws at municipal, state, and federal levels—so companies can focus on growth, not compliance. Our customers include: 40% of Forbes Top 50 AI companies 20% of Forbes Top 100 Cloud companies Top companies like Notion, Anthropic, and Cursor We're making compliant digital commerce a reality for companies big and small, backed by over $100M from leading investors including Sequoia, Spark, Index, and Khosla Ventures. We're building the agentic infrastructure layer at Anrok—the systems that let AI agents reason about tax data, take action across jurisdictions, and operate reliably at scale. This is early and foundational work: you'll be designing and shipping the primitives that the rest of the product builds on. We're looking for an engineer who pairs a strong distributed-systems background with real, hands-on experience building AI agent systems—someone who understands both how to make a service fault-tolerant and what it takes to make an LLM-powered agent reliable in production. If you want to work on distributed systems that sit at the intersection of AI and fintech, this role is for you. In this role, you will Design and build the distributed, fault-tolerant infrastructure that powers Anrok's AI agent capabilities—covering memory, state management, and execution for autonomous systems. Own technical architecture decisions for new agent infrastructure services end-to-end, from initial design through production deployment and iteration. Build the evaluation, observability, and reliability tooling that lets the rest of