Software Engineer, Agentic AI Infrastructure

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 levelsso 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

Were 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.

Were building the agentic infrastructure layer at Anrokthe systems that let AI agents reason about tax data take action across jurisdictions and operate reliably at scale. This is early and foundational work: youll be designing and shipping the primitives that the rest of the product builds on. Were looking for an engineer who pairs a strong distributed-systems background with real hands-on experience building AI agent systemssomeone 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.

• Design and build the distributed fault-tolerant infrastructure that powers Anroks AI agent capabilitiescovering 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 the team ship agents confidently on top of your infrastructure.

• Collaborate closely with product engineers and our tax data team to translate real compliance workflows into reliable scalable agent primitives.

• Drive engineering best practices across the team: code quality testing discipline system design and operational health.

• Identify and fix performance reliability and scalability bottlenecks as our agent systems grow.

• Help grow the teammentoring engineers contributing to technical culture and raising the bar on how we build.

• You have a strong systems engineering background with 3 years of experience building and operating distributed production-grade systems.

• Youve designed services that are scalable resilient and fault-tolerantand youve done it more than once.

• Youve built and deployed AI agents or LLM-powered systems in production and you understand firsthand what makes them reliable and maintainable at scale.

• Youre familiar with the modern AI stackprompt engineering eval frameworks RAG pipelines tool calling and agent orchestrationand you have a point of view on what the infrastructure beneath it should look like.

• You think carefully about architecture and tradeoffs and youre comfortable leading technical decisions without a complete playbook.

• You have experience with the full software development lifecycle: design code review testing deployment and on-call ownership.

• Youre energized by ambiguityyou can take a fuzzy problem break it down and ship something real.

• Youre curious and motivated to learn new toolsyouve experimented with AI in your work or on your own youre excited about whats possible and youve built something with it (an application a workflow a creative solution to a real problem) that you can walk us through.

• The equity upside of an early-stage startup with the product-market fit of a later-stage company.

• Daily lunch and snacks for those working out of our San Francisco office.

• Medical dental and vision insurance covered 100%.

• One Medical membership covered flexible sick benefits and more.

• Annual learning and development stipend for books online courses and conferences as well as a curious team to share your learnings with.

• Annual team offsites and in-person opportunities around our growing Anrok hubs.

• Home office setup stipend to ensure you have the equipment you need to thrive at work.

At Anrok we embrace a dynamic and flexible hybrid work environment based out of our growing office hubs - San Francisco New York City and Salt Lake City where we collaborate in-person 3 days per week.

For employees located outside of these hub cities we offer a fully remote setup U.S only.

Please be aware that Anrok does not recruit via WhatsApp or any third-party messaging platforms. All official communication from our team comes exclusively from @ email addresses. If you receive a suspicious message claiming to be from Anrok please do not engage. All open roles are listed on this page.

Required Experience:

Unclear Seniority