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RemoteFull timeTechnology

Senior Software Engineer, AI

UpdocUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeRemote
LocationUnited States, United States
FastAPIMLOpsSOC 2HIPAALLMPythonAzurePrompt Engineering

Job description

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

  • 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

    • Experience building AI infrastructure from 0 -> 1

  • 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

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