Agentic Systems Engineer

SolSan Mateo, CA

About The Position

Sol is an agentic HR system built for how work is changing. We're replacing the traditional HRIS with an AI-native foundation. We are built for change, designed to scale, and reimagined with AI from the ground up, so HR leaders get a clear view of their workforce instead of a system everyone works around. Sol was founded by leaders who spent decades building the modern HR category, and is backed by Sutter Hill Ventures and NEA. Our first customers go live in early 2027 and we need you to make them wildly successful.

Requirements

  • You've built distributed systems or platform infrastructure in production — orchestration, workflow engines, runtime systems — and understand how they fail
  • You've worked with modern agent frameworks or are deeply fluent in the patterns they implement, and can reason about when framework abstractions help versus hide problems
  • You think in terms of contracts, permissions, and blast radius: what an agent is allowed to do matters as much as what it can do
  • You see governance and auditability as part of the design problem, and you'd rather build platform infrastructure than consume it
  • You use AI tools heavily in your own development workflow
  • You want broad ownership at an early-stage company and care about clean architecture from day one

Responsibilities

  • Build the platform that Sol's agents run on: the runtime, orchestration, and governance systems that let AI agents do real work inside an enterprise HR system — safely, observably, and within the boundaries each customer defines.
  • Design and build the agent runtime and orchestration layer: multi-step workflows, state management, recovery, and human-in-the-loop checkpoints
  • Build the integration layer that gives agents structured, governed access to platform capabilities, using modern agent interoperability standards
  • Design the permission and policy enforcement that keeps agents operating within customer-defined boundaries on sensitive data
  • Build the observability that makes agent behavior traceable end to end
  • Set the engineering patterns this part of the platform scales on, as one of its first dedicated owners
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