Applied AI
Paxos Health is seeking a hands-on Founding Applied AI Lead to define and scale the applied AI function. This role involves designing AI workflows, writing agent instructions, creating implementation playbooks, and ensuring reliable, auditable AI outputs for customers in the healthcare industry.
Paxos Health is a Seed-stage healthcare AI startup that has raised >$6M in venture capital funding, with AI agents already operating in production with customers. Our founding team comes from Stanford, Meta, Microsoft, Medtronic, Columbia, University of Waterloo, and has founded previous startups and healthcare nonprofits.
We are building the AI-native operating system for getting patients access to the medical technologies their doctors prescribe. Too often, even when a physician decides a patient needs a healthcare product (cancer tests, genetic diagnostics, prosthetics, heart valves, neurostimulation devices, home medical equipment, etc.), health insurance companies deny coverage, and breakthrough technologies struggle to reach the people they were built to help.
We help healthcare manufacturers fight for coverage patient-by-patient. Before LLMs, this work was too difficult to use AI technology for, and human teams were forced to cut corners to get through all of the patient cases. But now, AI can help manufacturers meet increasingly complex insurer requirements and get more patients access to care.
Paxos Health is looking for a hands-on Founding Applied AI Lead. You'll work directly with the founders and help define the applied AI function at a seed-stage company before the playbook exists. (Note that the job title itself is flexible based on candidate preferences.)
The challenge is turning probabilistic LLM behavior into reliable, auditable workflows that customers trust in production. We've succeeded with the customers we've had so far, and we want to scale our AI to many more.
This role is deeply hands-on, but the core output is not production backend code. It is the written and structured system design layer around our AI: precise agent instructions, workflow specs, output schemas, implementation playbooks, and decisions about how messy customer processes should be translated into reliable product behavior.
As an early employee, there is a significant opportunity to grow the scope of your role. For example, you could become more product-adjacent, or more engineering-adjacent, depending on your interests.
We are open to many backgrounds for this role, not just software engineering. For example, a strong senior technical writer can be a great fit for this role. Much of the work is about precise instructions, structured outputs, reusable specs, and customer-facing implementation logic. If you have owned complex documentation systems, API or developer docs, information architecture, docs-as-code workflows, or cross-functional technical content, this role applies those same skills to AI systems in production.
You will own the applied-AI layer of Paxos’s customer workflows. In practice, your work will include:
For example, you might take a payer policy and customer cases, turn them into a structured decision workflow, write the agent instructions, design the output schema, build evals, review failures, and work with engineering to productionize the workflow.
This is not a pure software engineering role. If you have a software engineering background, you can write some production code, but that will not be a majority of the role.
Posted June 8, 2026