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.

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.