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# Software Engineer, Agentic AI Infrastructure

- **Company:** Anrok, Inc.
- **Location:** Salt Lake City, UT, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Software Quality, Code Review, Fault Tolerance, Software Deployment, Software Engineering, Large Language Models, Prompt Engineering, Build Management, Virtual Agents
- **Published:** June 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f7392b98d14a2e7f

## About the Role

Do you have experience in Tooling?, * 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.

## Description

* 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.


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