Full Stack Developer — AI Voice Agent Platform

We're building the next generation of AI-powered voice agents that integrate deeply with electronic health records (EHRs) and care coordination platforms. Our mission is to bring context-aware automation to healthcare communication — enabling real-time conversations, documentation, and scheduling through natural speech.

We're looking for a Full Stack Developer who can bridge AI infrastructure, EHR data exchange, and modern web applications to help us deliver this transformative experience.

Role Overview

In this role, you'll work across the full stack — from a React front end to a PostgreSQL-backed Python application — building the infrastructure that powers our conversational AI and EHR interoperability.
You'll collaborate with AI engineers to integrate OpenAI's Speech and GPT APIs, develop Model Context Protocol (MCP)–based context orchestration, and implement Retrieval-Augmented Generation (RAG) pipelines that make the voice agent truly intelligent within healthcare workflows.

Responsibilities

• Develop and maintain full-stack applications using Python, React, and PostgreSQL
• Build and scale EHR integrations (Epic, Athena, NextGen, eClinicalWorks) using FHIR, HL7, and RESTful APIs
• Implement MCP-driven context orchestration to manage multi-model and multi-agent communication
• Design and deploy RAG pipelines and structured prompting for LLM-based workflows
• Integrate speech recognition and synthesis (OpenAI Speech, Whisper, TTS) into production environments
• Ensure scalability, performance, and compliance with HIPAA/PHIPA standards
• Contribute to DevOps processes, CI/CD pipelines, and API documentation

Required Skills & Experience

• 4 years of professional full-stack development experience
• Proficiency in Python, React, and SQL (PostgreSQL)
• Strong experience with API integrations and healthcare data interoperability (FHIR, HL7)
• Working knowledge of LLMs, prompt engineering, RAG, and MCP concepts
• Familiarity with OpenAI APIs (Speech, GPT, Whisper) or similar LLM frameworks
• Understanding of secure, scalable web application architecture

Nice-to-Have

• Experience implementing MCP frameworks or multi-agent context routing
• Prior work in healthcare IT, EHR integration, or voice-AI products
• Familiarity with containerized deployments (Docker/Kubernetes) and cloud infrastructure (AWS/GCP/Azure)
• Knowledge of telephony or WebRTC technologies

What We Offer

• Opportunity to shape the frontier of AI-driven clinical communication
• Competitive compensation and stock options
• Flexible remote or hybrid work environment
• A fast-moving, collaborative team working at the intersection of AI, voice, and healthcare