Backend and AI Engineer

From voice AI that activates patients and handles calls to insurances, vendors, and providers, to the autonomous workflows that orchestrate end-to-end care delivery.

Responsibilities:

• Build and deploy voice AI for automating patient activation and outbound calls to insurance companies and vendors.
• Capture the right data from product usage, build the feedback loop, and implement RL pipelines so that agent performance improves continuously with real-world data.
• Bring together voice, workflow, and copilot agents into a unified AI Nurse experience.
• Human feedback (RLHF), reward modelling, or other feedback-driven improvement loops for LLM-based systems.

Requirements:

• You've built AI agents or LLM-powered systems from scratch and shipped them to production.
• Experience building evaluation pipelines for AI systems.
• Background in RAG systems, vector databases, and knowledge retrieval pipelines.
• Contributions to open-source AI projects or a portfolio of side projects that show your range.
• Experience with voice AI systems: speech-to-text, text-to-speech, and real-time voice orchestration.