Role description

Senior Software Engineer, AI

UpDoc

Zero to one AI-native

TypeFull-time

WorkplaceRemote

SenioritySenior

LocationUnited States

Posted7/14/2026

Engineering

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

Relevant archetypes

Apply on Ashby

Company info

UpDoc

A New Era of Clinical AI | Pioneering Remote Patient Intervention

🌐 Unveiling a New Era of Clinical AI 🚀 At UpDoc, we are redefining Clinical AI: from software that informs clinicians to software that can perform clinical actions historically carried out by licensed clinicians, like physicians, nurse practitioners and physician assistants. We are pioneering a new care delivery model built around this capability: Remote Patient Intervention (RPI), defined as Clinical AI acting on Remote Patient Monitoring data to deliver clinical care. RPI was first conducted in patients in a Stanford clinical trial published in JAMA Network Open, where the term was coined. Through RPI, our goal is to transform how care is delivered by accompanying traditional clinical visits with physician-supervised “AI encounters” between visits. Rather than simply making clinicians more efficient, Clinical AI can expand the capacity of the healthcare system to deliver more frequent, proactive, and continuous care while keeping physicians at the center of the patient's care.

Private company

HQPalo Alto, United States

Size11–50 employees