Anrok - Software Engineer, Agentic AI Infrastructure

• 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 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 team—mentoring engineers, contributing to technical culture, and raising the bar on how we build. • What excites us • You have a strong systems engineering background, with 3+ years of experience building and operating distributed, production-grade systems. • You've designed services that are scalable, resilient, and fault-tolerant—and you've done it more than once. • You've built and deployed AI agents or LLM-powered systems in production, and you understand firsthand what makes them reliable and maintainable at scale. • You're familiar with the modern AI stack—prompt engineering, eval frameworks, RAG pipelines, tool calling, and agent orchestration—and you have a point of view on what the infrastructure beneath it should look like. • You think carefully about architecture and tradeoffs, and you're 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. • You're energized by ambiguity—you can take a fuzzy problem, break it down, and ship something real. • You're curious and motivated to learn new tools—you've experimented with AI in your work or on your own, you're excited about what's possible, and you've built something with it (an application, a workflow, a creative solution to a real problem) that you can walk us through.