About UpDoc
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.
Who You Are
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.
What You'll Do
- 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 LLM technologies, tools and frameworks
- Collaborate with clinical experts to validate performance and medical accuracy
- Work on developing backend services using FastAPI and Pydantic
What You’ll Need
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5+ years of professional software development experience, including 2+ years of experience with backend web development
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Experienced and comfortable working with type-hinted, modern Python
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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
- Experience building AI infrastructure from 0 -> 1
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Experience with cloud platforms (especially Azure) and containerization technologies
Highly Desired
- Professional experience building end-to-end LLM-powered applications
- Experience with model fine-tuning/alignment
- Experience in an early stage startup environment
- Experience with healthcare industry standards, such as FHIR, and regulations, including HIPAA and SOC 2