Senior AI Engineer

THE PROBLEM

We're building an agentic AI caregiver advocate that lives in your text messages and acts on behalf of rare disease patients and their families. It doesn't just answer questions. It makes phone calls to insurance companies, automates browser sessions to find clinical trials, prepares patients for specialist appointments using their complete medical history, navigates government benefits applications, and coordinates across multiple sub-agents to get things done. It maintains persistent memory across months of interactions and gets smarter about each patient's condition, care team, and needs over time.

The AI engineering challenge: build an autonomous agent that operates reliably in one of the highest-stakes domains imaginable — where a wrong answer about a medication interaction or a missed insurance deadline has real consequences for a sick child and their family. Traditional chatbot architecture doesn't cut it. We need engineers who can design agentic systems that reason, plan, use tools, and know when to escalate to a human.

THE ROLE

We're hiring AI Engineers to build the intelligence behind our AI advocate. You'll design and implement the agentic LLM systems, RAG pipelines, tool-use frameworks, and evaluation infrastructure that make it effective, reliable, and safe. This is not a research role — you'll ship production systems that real patients depend on daily.

You'll work closely with Product, Platform Engineering, and clinical advisors. You'll report to the CTO.

WHAT YOU'LL BUILD

Agentic orchestration — Design and implement the multi-agent architecture that powers our advocate's ability to reason, plan, and execute complex multi-step tasks (scheduling appointments, filing insurance appeals, researching treatment options) with appropriate guardrails and human-in-the-loop checkpoints.

RAG and medical knowledge systems — Build retrieval pipelines over patient medical records, condition-specific knowledge bases, and community-sourced ...