Software Engineer (Agentic AI Infrastructure)

Join Anrok, a fintech company at the intersection of AI and tax compliance. As a Software Engineer, you will design and build the distributed infrastructure that powers our AI agent capabilities. You will own technical architecture decisions, build evaluation and reliability tooling, and collaborate closely with product engineers and our tax data team. You will also drive engineering best practices and help grow the team.

• 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.
• Collaborate closely with product engineers and our tax data team to translate real compliance workflows into reliable, scalable agent primitives.
• You have a strong systems engineering background, with 3+ years of experience building and operating distributed, production-grade systems
• 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
• 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 have experience with the full software development lifecycle: design, code review, testing, deployment, and on-call ownership
• You think carefully about architecture and tradeoffs, and you're comfortable leading technical decisions without a complete playbook
• You're energized by ambiguity—you can take a fuzzy problem, break it down, and ship something real
• 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