3+ years of experience in distributed, production-grade systems.
Proven ability to design scalable, resilient, and fault-tolerant services.
Hands-on experience building and deploying AI agents or LLM-powered systems.
Familiarity with modern AI stacks and infrastructure requirements.
Experience with full software development lifecycle from design to deployment.
Responsibilities
Design and build distributed infrastructure for AI agents.
Own end-to-end technical architecture decisions for new services.
Develop evaluation and observability tooling for agent deployments.
Collaborate with product and tax data teams to create scalable agent primitives.
Implement engineering best practices across the team.
Identify and resolve performance and scalability bottlenecks.
Mentor junior engineers and strengthen technical culture.
Benefits
Equity upside in an early-stage startup with strong product-market fit.
Daily lunch and snacks available at the San Francisco office.
Full coverage for medical, dental, and vision insurance.
Membership in One Medical with flexible sick benefits.
Annual stipend for learning and development resources.
Opportunities for annual team offsites and in-person events.
Stipend for home office setup to optimize work conditions.
Full Job Description
We9re building the agentic infrastructure layer at Anrok-the systems that let AI agents reason about tax data, take action across jurisdictions, and operate reliably at scale. This is early and foundational work: you9ll be designing and shipping the primitives that the rest of the product builds on. We9re looking for an engineer who pairs a strong distributed-systems background with real, hands-on experience building AI agent systems-someone who understands both how to make a service fault-tolerant and what it takes to make an LLM-powered agent reliable in production. If you want to work on distributed systems that sit at the intersection of AI and fintech, this role is for you.
In this role, you will
Design and build the distributed, fault-tolerant infrastructure that powers Anrok9s 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.
You9ve designed services that are scalable, resilient, and fault-tolerant-and you9ve done it more than once.
You9ve built and deployed AI agents or LLM-powered systems in production, and you understand firsthand what makes them reliable and maintainable at scale.
You9re 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 you9re 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.
You9re energized by ambiguity-you can take a fuzzy problem, break it down, and ship something real.
You9re curious and motivated to learn new tools-you9ve experimented with AI in your work or on your own, you9re excited about what9s possible, and you9ve built something with it (an application, a workflow, a creative solution to a real problem) that you can walk us through.
What we offer
The equity upside of an early-stage startup with the product-market fit of a later-stage company.
Daily lunch and snacks for those working out of our San Francisco office.
Medical, dental, and vision insurance covered 100%.
One Medical membership covered, flexible sick benefits and more.
Annual learning and development stipend for books, online courses, and conferences, as well as a curious team to share your learnings with.
Annual team offsites and in-person opportunities around our growing Anrok hubs.
Home office setup stipend to ensure you have the equipment you need to thrive at work.
At Anrok, we embrace a dynamic and flexible hybrid work environment based out of our growing office hubs - San Francisco, New York City, and Salt Lake City where we collaborate in-person 3 days per week.
For employees located outside of these hub cities, we offer a fully remote setup U.S only.
Please be aware that Anrok does not recruit via WhatsApp or any third-party messaging platforms. All official communication from our team comes exclusively from [redacted].com email addresses. If you receive a suspicious message claiming to be from Anrok, please do not engage. All open roles are listed on this page.
