About the job
Our Mission
At Zocdoc, we believe that healthcare should empower patients, not frustrate them. Too often, patients are met with outdated insurance directories, long hold times, and unexpected medical bills. Unlike other industries, where poor customer experiences lead to failure, healthcare often lacks competition, leaving patients with little choice but to accept subpar service.
Our goal is to transform this landscape by giving power back to the patient. Zocdoc has created a leading healthcare marketplace that simplifies the process of finding and booking both in-person and virtual care across all 50 states, covering over 200 specialties and more than 12,000 insurance plans. By enhancing patient choice, we aim to make healthcare competitive, driving quality up and costs down.
With 18 years of experience and a leadership position in our industry, we are just beginning our journey. If you are passionate about solving complex problems and thrive in a collaborative environment filled with talented, driven individuals, we encourage you to apply.
Your Impact on Our Mission
As a Staff Software Engineer, you will play a pivotal role in shaping the future of healthcare communication by developing Zocdoc’s AI Phone Assistant, Zo. This intelligent voice agent will handle inbound calls for hospitals and doctor's offices, significantly impacting patient-provider interactions. You will have the opportunity to design, build, and scale AI systems that redefine healthcare connectivity.
Our team is dedicated to leveraging cutting-edge tools and methodologies. We continuously research and experiment to evaluate the performance of AI systems in real-world settings. Our focus is on creating intelligent decision-making systems rather than merely executing individual model calls.
Engineers on our team take concepts from initial exploration to production, constantly adapting based on actual user feedback.
Your Day to Day
- Architect, develop, and maintain high-quality, scalable software systems that support Zocdoc’s AI Phone Assistant.
- Design and implement AI-driven workflows, integrating large language models (LLMs) and conversational AI into production systems.
- Lead prompt engineering, model integration, and system optimization to enhance accuracy and efficiency.