NY, SF, Remote
Why RoVR
At RoVR, we’re on a mission to turn practices into AI-Native, Self-Optimizing Learning Health Clinics. At RoVR, we are building a multimodal, agentic operating system to launch, manage, and scale A-LHCs nationwide. We collaborate with large health organizations as well as local physician groups, modernizing legacy operations to launch these next-generation clinics.
Central to this vision are at RoVR, autonomous agents that orchestrate and optimize clinical, administrative, and patient engagement processes. By alleviating repetitive tasks, RoVRs free providers and admins to focus on proactive decision-making guided by actionable insights, laying the groundwork for a more responsive, outcome-driven healthcare ecosystem.
By uniting clinical and operational intelligence in one cohesive platform, we're building the infrastructure for a Learning Health System that can collaborate with and empower clinicians to redefine the patient experience and transform health outcomes.
Based in the heart of NYC and backed by leading venture capital firms/visionary healthcare leaders, RoVR is on a mission to transform the future of healthcare. We are seeking mission-driven engineers, designers, and operators to join our team and help us build the foundational operating system that will drive medicine for the next century.
The Role
We are looking for an engineer to build and advance the agent harness: the layer that decides what a model sees, which tools it can use, how work is divided across agents and people, and what happens when something fails. As the owner of this layer, you would design the runtime that lets agents act on live clinical systems over long horizons and set the ceiling on what any model can do here. The work combines systems engineering with a working understanding of how models behave.
Responsibilities
Design the agent loop: context, tools, memory and state across long-horizon tasks.
Build the multi-agent runtime: decomposition, coordination, and handoffs between agents and to humans.
Make unattended work reliable: budgets, checkpoints, guardrails, and recovery from model, tool and world errors.
Build the routing layer so each step goes to the best model for it, and models can be swapped without rewriting workflows.
Instrument everything. Every decision an agent makes should be trainable and auditable.
Minimum qualifications
Bachelor's degree or equivalent experience in computer science or a related technical field.
You have shipped agents that run unattended in production and can explain precisely how they failed.
A deep practical sense of what current models can do and how harness design moves that line.
Strong backend engineering: Python, async systems, API design, and restraint.
Experience with sandboxed execution.
Preferred qualifications
Workflow engines or multi-agent coordination at scale.
Enough post-training exposure to build a harness researchers can train against.
Logistics
Location: San Francisco or New York, on-site.
Employment type: full-time.
Compensation: competitive salary and meaningful equity.
Visa sponsorship is available.
RoVR is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
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