Software Engineer, Agentic AI Infrastructure

Anrok is the leading tax automation platform enabling businesses to expand globally without compliance complexity. They are seeking a Software Engineer to design and build the distributed infrastructure that powers their AI agent capabilities, ensuring reliability and scalability while collaborating with product engineers and tax data teams.

Responsibilities:

• 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

Requirements:

• 3+ years of experience building and operating distributed, production-grade systems
• Designed services that are scalable, resilient, and fault-tolerant
• Built and deployed AI agents or LLM-powered systems in production
• Familiar with the modern AI stack—prompt engineering, eval frameworks, RAG pipelines, tool calling, and agent orchestration
• Comfortable leading technical decisions without a complete playbook
• Experience with the full software development lifecycle: design, code review, testing, deployment, and on-call ownership
• Ability to take a fuzzy problem, break it down, and ship something real
• Curious and motivated to learn new tools, with experience experimenting with AI