UpDoc’s platform combines Clinical AI with physician coordination to deliver proactive, evidence-based care at scale. And the applications are limitless. Backed by Pear VC.
About the role
Lead the development of our patient-facing conversational agent Implement a scalable, low-latency system for voice/multimodal conversations
What they're looking for
- 5+ years of professional software development experience, including 2+ years of experience with backend web development
- Experienced and comfortable working with type-hinted, modern Python
- 2+ years of experience building end-to-end LLM applications, personally or professionally
- Experience integrating/optimizing LLMs in production environments
- Knowledge of evaluation frameworks
- Knowledge and experience with MLOps/LLMOps best practices
More about this role
At UpDoc , we are building the first clinically validated, physician-supervised AI agent that manages chronic diseases. We are an early-stage startup founded by Stanford physicians.
We are seeking a talented and motivated senior engineer to join our team. You will primarily work on UpDoc’s patient-facing conversational agent. This is a fully remote position.
You’re an experienced senior engineer with a backend tilt. You’re well-versed in all things web and have experience building LLM applications end-to-end, even if not in a professional context. You follow the AI/LLM space closely, play with new technologies as they come out, and are excited to use these technologies to build safe, reliable medical AI systems.
Lead the development of our patient-facing conversational agent
Implement a scalable, low-latency system for voice/multimodal conversations
Implement rigorous prompt engineering processes and develop useful metrics for system evaluation
Identify where fine-tuning and alignment might be valuable, and create data pipelines to enable fast experimentation
Work with other backend engineers to deploy AI models and chat/voice APIs
Help identify, evaluate, and implement emerging...
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